UNKNOWN

FEED

Utilize AWS services including CloudFormation, CDK, Step Functions, Lambda, EventBridge, DynamoDB, S3, Glue, and Athena to design and orchestrate robust cloud infrastructures. Integrate and manage Amazon Knowledge Bases and Vector Databases to enhance contextual understanding and retrieval-augmented generation (RAG) workflows.

<h3>Key Responsibilities:</h3><ul><li>Design, develop, and implement Generative AI solutions leveraging Amazon Bedrock and related AWS services.</li><li>Configure and optimize Amazon Bedrock Agent Orchestration for intelligent workflow and model lifecycle management.</li><li>Apply Prompt Engineering methodologies for fine-tuning and optimizing AI model outputs.</li><li>Implement Amazon Bedrock Guardrails to ensure compliance, brand safety, and responsible AI governance.</li><li>Integrate and manage Amazon Knowledge Bases and Vector Databases to enhance contextual understanding and retrieval-augmented generation (RAG) workflows.</li><li>Employ MLOps practices to automate model training, deployment, and monitoring within enterprise environments.</li><li>Build and maintain CI/CD pipelines to support scalable and efficient deployment of AI and cloud-native applications.</li><li>Utilize AWS services including CloudFormation, CDK, Step Functions, Lambda, EventBridge, DynamoDB, S3, Glue, and Athena to design and orchestrate robust cloud infrastructures.</li><li>Develop infrastructure as code (IaC) solutions using AWS CDK and CloudFormation, ensuring version control and repeatable deployments.</li><li>Collaborate with data scientists, solution architects, and DevOps teams to integrate AI capabilities with existing business systems.</li><li>Create and maintain comprehensive technical documentation, including runbooks, design documents, and troubleshooting guides for deployed solutions.</li><li>Ensure all solutions meet AWS best practices for security, compliance, scalability, and cost optimization.</li></ul><hr/><h3>Required Skills & Experience:</h3><ul><li>10+ years of hands-on experience in AWS Cloud Computing within enterprise environments.</li><li>Proven experience with Amazon Bedrock, including agent orchestration, workflow management, and model fine-tuning.</li><li>Strong knowledge of Generative AI architectures, LLM integration, and Prompt Engineering techniques.</li><li>Expertise in AWS Cloud Development Kit (CDK), CloudFormation, and Infrastructure as Code (IaC) principles.</li><li>Proficiency with AWS services such as S3, Lambda, EventBridge, DynamoDB, Glue, Step Functions, and Athena.</li><li>Experience implementing MLOps pipelines using AWS-native tools and frameworks.</li><li>Solid understanding of CI/CD pipeline automation using AWS or third-party tools (e.g., CodePipeline, Jenkins, GitHub Actions).</li><li>Familiarity with security and compliance standards for AI and cloud environments.</li><li>Strong problem-solving, analytical, and communication skills, with a proven ability to work collaboratively across technical and non-technical teams.</li></ul><hr/><h3>Preferred Qualifications:</h3><ul><li>AWS Certified Solutions Architect / DevOps Engineer / Machine Learning Specialty certification.</li><li>Experience deploying Retrieval-Augmented Generation (RAG) systems using AWS Bedrock and vector search technologies.</li><li>Prior experience integrating LLMs (e.g., Anthropic Claude, Amazon Titan, or other Bedrock models) into enterprise solutions.</li><li>Working knowledge of Python, TypeScript, or Java for automation and API integration.</li></ul>

Purple Drive

Senior AWS Cloud & Generative AI Engineer

AWS Lambda

Amazon Simple Storage Service (S3)

Amazon Web Services (AWS)

Analysis Skills

Application Programming Interface (API)

Artificial Intelligence (AI)

Automation

Best Practices

Business Solutions

Cloud Applications

Cloud Computing

Communication Skills

Continuous Deployment/Delivery

Continuous Integration

Cost Control

Data Science

Design Document

DevOps

GitHub

Identify Issues

Java

Jenkins

Knowledge Base

Machine Learning

Maintain Compliance

Management Strategy

Problem Solving Skills

Python Programming/Scripting Language

Regulatory Compliance

Safety Compliance

Software Engineering

Source Code/Configuration Management (SCM)

Team Player

Technical Writing

Oorwin

ADAPTED_NOW

The ideal candidate should have hands-on experience building production-grade AI systems, including Retrieval-Augmented Generation (RAG) platforms, vector search pipelines, autonomous AI agents, and scalable ML model deployment. The role requires expertise in Python-based ML development, LLM frameworks, vector databases, and AI orchestration frameworks such as LangChain, LangGraph, and Hugging Face.

Senior AI / GenAI Engineer ( F2F interview is required) ( Banking/Finance domain) Type: Contract Location: GA/ NY ( Hybrid 3 days) Rate: DOE Job Summary: Candidates must have experience delivering enterprise AI solutions in production environments, NOT only POC or personal projects/Educational Projects . We are seeking a Senior AI / GenAI Engineer with strong experience in machine learning, generative AI, and enterprise-scale AI platform development. The ideal candidate should have hands-on experience building production-grade AI systems, including Retrieval-Augmented Generation (RAG) platforms, vector search pipelines, autonomous AI agents, and scalable ML model deployment. The role requires expertise in Python-based ML development, LLM frameworks, vector databases, and AI orchestration frameworks such as LangChain, LangGraph, and Hugging Face. Skill Matrix (Provide this for all profile submissions): GenAI Engineer- Skill/Competency | Hands-on experience in years. Enter 0 if you have theoretical knowledge | Rating (1-10) 10 Highest Python RAG, Vector DB, Chunking, Embedding Data Pre-Processing Prompt Engineering GenAI Models Familiarity Framework & Libraries - LangChain, Hugging Face, Langgraph similar framework build autonomous loop Azure Cloud Computing/OpenAI services API Integration and Development Gen AI solution built for enterprise solutions (Not POC, Educational, Personal) Mandatory In-person interview in GA or NY - Enter Yes to confirm. Key Responsibilities: • Strong Python development experience (7+ years). • Hands-on experience with RAG, Vector DB, Embeddings and document chunking, Semantic search pipelines • Experience with LangChain, LangGraph, and Hugging Face. • Experience with Pandas, NumPy, and data preprocessing pipelines. • Experience deploying ML models as REST APIs and integrating AI with enterprise systems. Required Skills & Qualifications: • ** Mandatory In-person interview in GA or NY • ** Experience with enterprise level projects only - No college, Educational, POC Projects • Strong Python development experience (7+ years). • Hands-on experience with RAG, Vector DB, Embeddings and document chunking, Semantic search pipelines • Experience with LangChain, LangGraph, and Hugging Face. • Experience with Pandas, NumPy, and data preprocessing pipelines. • Experience deploying ML models as REST APIs and integrating AI with enterprise systems. Preferred Qualifications: • Experience with Natural Language Processing (NLP) and Deep Learning. • Familiarity with Transformers and Large Language Models (LLMs). • Experience with Cloud ML platforms such as Azure AI, AWS SageMaker etc Nice to Have: • Experience building AI agents or autonomous systems. • Knowledge of vector databases (Pinecone, Weaviate, Milvus, FAISS). • Experience with MLOps practices, Docker, and Kubernetes. • Exposure to multimodal AI systems.

Georgia Tek Systems

Senior AI / GenAI Engineeri in GA/ NY (Hybrid 3 days)

Artificial Intelligence (AI) Agents

Data Management

Deep Learning

Docker

Microsoft Windows Azure

Modeling Languages

Natural Language Processing (NLP)

Production Systems

REST (Representational State Transfer)

Semantic Search

Shallow Parsing

United States Department of Energy (DOE)

The leader directly contributes to the design and development of enterprise AI platforms, reference architectures, and reusable patterns, while ensuring our AI architecture & technology decisions align to Unum Group’s business strategy and long-term value. General Summary: This role is responsible for defining and advancing the enterprise AI architecture strategy assuring scalable, secure, and flexible AI capabilities that enable rapid delivery of business value.

YEAR

<div>Job Posting End Date: June 19Our Fortune 500 company is driving a digital transformation and looking for forward-thinking innovators to disrupt how our industry thinks about and uses technology. As one of the world's leading employee benefits providers, we help millions of people gain affordable access to benefits that help them protect their families, their finances and their futures.Are you an asker of questions, a solver of problems, and a challenger of the status quo? Our mission is to provide a differentiated customer experience and exceed the expectations people have of technology at any company — not just insurers. We are seeking individuals to join our team of talented IT professionals who share never-ending passion and an unwavering focus on our customer experience. Team members comfortable working in an agile, fast-paced, and delivery-focused environment thrive in our environment where we value an entrepreneurial spirit and those who challenge the status-quo.Unum is changing, and we’re excited about what’s next. Join us.<h2>General Summary:</h2>This role is responsible for defining and advancing the enterprise AI architecture strategy assuring scalable, secure, and flexible AI capabilities that enable rapid delivery of business value. It serves as the bridge between enterprise architecture strategy and execution, shaping how solutions integrating AI are designed, governed, and deployed across the organization. The leader directly contributes to the design and development of enterprise AI platforms, reference architectures, and reusable patterns, while ensuring our AI architecture & technology decisions align to Unum Group’s business strategy and long-term value. This role acts as a thought leader and orchestrator, partnering across technology and business teams to integrate AI into the enterprise in a disciplined, sustainable, and responsible way.Principal Duties and Responsibilities<ul><li>Define and evolve the enterprise AI architecture strategy and standards</li><li>Be the enterprise architecture representative in AI governance committees and directly contribute to governance frameworks and enterprise standards.</li><li>Ensure enterprise AI capabilities are aligned to business outcomes and enterprise priorities</li><li>Design scalable, modular, and secure agentic AI solutions</li><li>Establish reference architectures, reusable patterns, and enterprise platforms to industrialize AI capabilities at scale (primarily cloud-based / hyperscaler capabilities)</li><li>Align AI architecture with enterprise capabilities and technology roadmaps</li><li>Evaluate emerging technologies and guide tool/platform selection to ensure cost-effective, future-ready solutions</li><li>Continuously maintain and update the enterprise AI platform roadmaps as the technology and industry capabilities evolve</li><li>Ensure consistent adoption of architecture standards across delivery teams</li><li>Lead architecture governance, compliance, and quality (design-time and runtime performance)</li><li>Influences senior leaders and drives alignment across stakeholders</li><li>Partner with business, product, and technology leaders to translate strategy into execution</li><li>Guide and mentor architects and technical leaders while being a champion of disciplined architecture practices across the organization</li><li>Drive continuous improvement through learnings from implementation and solution delivery</li><li>Define business outcomes, use cases, and success metrics; support AI business cases</li><li>Partner with the enterprise data team to ensure availability, governance, and compliance of data required for AI solutions</li><li>Lead evaluation and selection of foundation models (LLMs, etc.) based on business fit and cost</li><li>Oversee model training, validation, and risk assessment (e.g., bias, hallucination)</li><li>Define deployment approaches and support enterprise adoption and change management</li><li>Establish monitoring frameworks for performance, drift, and continuous improvement</li></ul><ul><li>Ensure alignment with responsible AI principles (fairness, transparency, accountability) and regulatory requirements</li><li>Partner with risk, legal, and compliance teams to mitigate AI-specific risks (e.g., bias, model drift, data leakage)</li><li>Establish clear roles, responsibilities, and oversight mechanisms for AI solutions</li></ul>Job Specifications<ul><li>Bachelor’s degree required; advanced degree preferred</li><li>15+ years of experience in enterprise architecture with significant experience designing and implementing enterprise AI/ML platforms and solutions</li><li>Deep knowledge of AI/ML frameworks, cloud AI services (e.g., AWS), and modern data technologies</li><li>Experience with foundation models, prompt engineering, RAG architectures, and agentic AI patterns</li><li>Strong understanding of AI risks, governance frameworks, and regulatory considerations</li><li>Familiarity with Agile/Lean delivery and modern engineering practices (e.g., CI/CD, MLOps)</li><li>Demonstrable experience of delivering complex software systems as an engineer and architect</li><li>Proven ability to communicate complex technical concepts to both technical and business audiences</li><li>Experience with standard enterprise architecture modeling practices (ArchiMate and Bizzdesign preferred)</li><li>Strategic thinker with strong problem-solving and analytical skills</li><li>Collaborative and influential leader across complex organizations</li><li>Curious and forward-looking on emerging technologies</li><li>Outcome-driven with focus on measurable business impact</li></ul>~IN1#LI-RA1Our company is built on helping individuals and families, and this starts with our employees. We want employees to maintain a positive balance, which is why we provide access to the benefits and resources they need to invest in themselves. From our onsite fitness facilities and generous paid time off to employee professional development programs, we are committed to helping employees live and work their best – both inside and outside the office.Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.$133,500.00-$274,100.00Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not.  All benefits are subject to the terms and conditions of individual Plans.Company:Unum</div>

UNUM Group

AVP, AI Enterprise Architecture

Agile Programming Methodologies

Business Case

Business Strategy

Business Support

Change Management

Computer Security

Continuous Improvement

Customer Experience

Customer Relations

Data Modeling

Emerging Technology

Employee Benefits

Enterprise Architecture

Entrepreneurship

Fitness

Fortune 500 Customers

Futures

Legal

Mentoring

Metrics

Model Validation

Performance Analysis

Process Improvement

Regulations

Regulatory Requirements

Risk

Risk Analysis

Standards Strategy

Thought Leadership

Use Cases

UNUM Group Jobs

Experienced in relationship management, with the ability to establish and nurture long-term partnerships with enterprise customers at all levels, including C-suite executives, fostering trust and collaboration that drive successful AI adoption and customer loyalty. You will serve as a trusted AI advisor to your customers' senior leaders, guiding them through AI transformation by implementing change management best practices, educating end users, and identifying, prioritizing, and deploying AI use cases that deliver measurable business value.

Your work days are brighter here.We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.About the TeamThe AI Practice team is part of Workday''s Professional Services organization and is dedicated to helping enterprise customers realize the full value of Workday''s AI products and platform. We guide some of the world''s most complex organizations through AI adoption and transformation, from initial deployment through long-term partnership success.Our mission is to bridge the gap between Workday''s AI innovation and real-world business outcomes. We partner closely with product, engineering, sales, and customer success teams to shape how customers experience Workday AI, while also feeding insights back to improve Workday''s products and services. What makes this team special is the combination of high ownership, deep collaboration, and the opportunity to work at the forefront of enterprise AI transformation alongside a talented and supportive peer group.About the RoleAs a Engagement Manager on the AI Practice team, you will own the end-to-end customer relationship across several enterprise accounts, beginning with product deployment and continuing throughout the lifecycle of the partnership. You will operate with significant autonomy and influence, shaping how enterprise customers adopt Workday's AI products, informing the evolution of Workday's product and services offerings, and collaborating with a deeply talented peer group.You will serve as a trusted AI advisor to your customers' senior leaders, guiding them through AI transformation by implementing change management best practices, educating end users, and identifying, prioritizing, and deploying AI use cases that deliver measurable business value. Your ability to understand each customer's business model and connect their unique challenges to Workday's horizontal AI platform will be essential to your success.Responsibilities:<ul><li>Own end-to-end delivery for multiple enterprise customer engagements, ensuring customers realize maximum value from Workday's AI products from deployment through the full lifecycle of the partnership</li><li>Partner with customers' C-level executives on AI strategy and transformation, including developing adoption roadmaps and change management approaches</li><li>Lead one or more concurrent implementations, ensuring projects are delivered within the budget and timeline outlined in the statement of work</li><li>Manage timelines, risks, and cross-functional coordination to ensure smooth delivery and long-term adoption across large-scale deployments</li><li>Identify retention opportunities and potential areas for expanded engagement, contributing to the growth of the customer relationship</li><li>Provide guidance and mentoring to Professional Services team members working on your implementations, ensuring projects are properly planned and staffed</li><li>Identify and resolve issues that could affect project scope or timelines, presenting updates at Executive Steering Committee meetings and leading quarterly business reviews</li><li>Participate in the sales cycle when requested to gather requirements, formulate delivery approaches, and develop proposals</li></ul>About YouBasic Qualifications (Senior Engagement Manager):<ul><li>Demonstrable experience of leading Medium and/or Large Enterprise implementations or transformation initiatives</li><li>4+ years of experience in either enterprise application implementation (Workday, Oracle, NetSuite, SAP, Cornerstone, or similar) or top-tier strategy consulting (MBB, Tier 2), venture capital, or a commercial/strategy/ops role in a startup or scale-up.</li></ul>Basic Qualifications (Principal Engagement Manager):<ul><li>Demonstrable experience of leading Medium and/or Large Enterprise implementations or transformation initiatives</li><li>8+ years of experience in either enterprise application implementation (Workday, Oracle, NetSuite, SAP, Cornerstone, or similar) or top-tier strategy consulting (MBB, Tier 2), venture capital, or a commercial/strategy/ops role in a startup or scale-up.</li></ul>Other Qualifications<ul><li>Experienced in relationship management, with the ability to establish and nurture long-term partnerships with enterprise customers at all levels, including C-suite executives, fostering trust and collaboration that drive successful AI adoption and customer loyalty</li><li>Demonstrated executive presence, including the ability to project confidence and poise while communicating with senior leaders, facilitating executive steering committee meetings, and leading quarterly business reviews in complex customer environments</li><li>Skilled in project management, with experience planning, coordinating, and delivering multiple concurrent implementations on time and within budget, using effective methodologies for risk management, resource allocation, and quality delivery</li><li>Proficient in software implementations, with the ability to guide customers through AI and enterprise application deployments, including configuration, change management, user education, and long-term adoption planning</li><li>Effective communicator who can adapt their style to different audiences, from end users to C-suite executives, translating complex AI concepts into clear, actionable guidance that inspires confidence</li><li>Adept at situational awareness, with the ability to interpret complex customer environments, identify potential issues or opportunities early, and make informed decisions that keep engagements on course</li><li>Demonstrated ability to navigate ambiguity and work through open-ended challenges where there is no prior blueprint, moving from strategy to hands-on delivery with a growth mindset and a desire to learn and develop new capabilities quickly</li></ul>Workday Pay Transparency StatementThe annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here.Primary Location: USA.IL.ChicagoPrimary Location Base Pay Range: $129,000 USD - $193,400 USDAdditional US Location(s) Base Pay Range: $116,600 USD - $207,200 USDAdditional Considerations:If performed in Colorado, the pay range for this job is $122,800 - $184,200 USD based on min and max pay range for that role if performed in CO.The application deadline for this role is the same as the posting end date stated as below:05/11/2026Our Approach to Flexible WorkWith Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!At Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

AI Jobs in Warner Robins, GA

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AI Jobs in Warner Robins, GA

Senior AWS Cloud & Generative AI Engineer Purple Drive

Senior AI / GenAI Engineeri in GA/ NY (Hybrid 3 days) Georgia Tek Systems

AVP, AI Enterprise Architecture UNUM Group

Engagement Manager, AI Practice Workday Inc

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