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>

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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

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