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AWS GenAI Solutions Architect (AWS Bedrock)

ICONMA, LLC

Chicago, IL

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JOB DETAILS
SALARY
$15–$60.71 Per Hour
SKILLS
Access Control, Amazon Web Services (AWS), Architectural Services, Artificial Intelligence (AI), Automation, Benchmarking, Best Practices, Blueprints, Budgeting, Capacity and Performance Management, Cloud Architecture, Cloud Computing, Code Reviews, Communication Skills, Cost Control, Cryptography, Customer Experience, Customer Satisfaction, Data Collection, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Distributed Computing, Enterprise Architecture, Equipment Maintenance/Repair, External Audit, Health Plan, High Reliability, Identity Data Management, Illustrating Ability, Incident Response, Information Technology Consulting, Information/Data Security (InfoSec), Internal Audit, Large-Scale Systems, Machine Learning, Maintain Compliance, Mentoring, Onboarding, Order Management, Order Processing, Performance Tuning/Optimization, Policy Implementation, Pricing, Process Improvement, Production Systems, Quality Management, Regulations, Requirements Management, Resource Management, Revenue Growth, Risk, Risk Analysis, Risk Management, Technical Delivery, Technical Leadership, Test Plan/Schedule, Time Management, Traceability, User Interface/Experience (UI/UX)
LOCATION
Chicago, IL
POSTED
1 day ago
Our Client, an IT Services and Consultant company, is looking for an AWS GenAI Solutions Architect (AWS Bedrock) for their Chicago, IL/Hybrid location.
 
Responsibilities:
  • Design end to end cloud native architectures that integrate AWS machine learning, data pipelines, configuration services and commerce platforms to address complex business objectives while optimizing for reliability and cost efficiency
  • Develop robust solution blueprints and reference architectures that guide engineering teams in implementing reusable patterns for data ingestion, model training, inference and lifecycle management across multiple business domains Coordinate closely with data engineers and data scientists to establish effective pipelines for data collection, feature engineering, model versioning and monitoring using AWS machine learning and related data services
  • Define strategies for implementing AWS Bedrock text capabilities to deliver responsible generative AI solutions that support content generation, summarization, search enhancement and workflow automation for enterprise customers
  • Establish secure and compliant configurations by using AWS Config and related governance mechanisms to enforce policies, detect drift and support internal and external audit requirements across all environments
  • Create resilient AWS Data Pipeline designs that orchestrate batch and near real time data processing while maintaining data quality, lineage visibility and timely availability for downstream analytics and machine learning workloads Architect modern AWS commerce solutions that integrate catalog management, pricing logic, payment services and order processing while maintaining reliability, scalability and consistent customer experience across digital channels
  • Guide teams in applying cost optimization practices by selecting appropriate AWS services, storage tiers, compute options and scaling strategies to balance performance and budget objectives across business units -Partner with product managers, business stakeholders and user experience specialists to translate requirements into technical solutions that deliver measurable outcomes for revenue growth, customer satisfaction and process efficiency -Review solution designs, implementation plans and production readiness checklists to identify risks, recommend mitigations and ensure that architectural principles and best practices are applied consistently Document architectural decisions, integration patterns, data flows and operational runbooks in clear and accessible forms to support onboarding, knowledge sharing and long term maintainability across the organization -Provide technical guidance and mentoring to engineering professionals by sharing architectural insights, code review feedback and practical examples that strengthen cloud and machine learning capabilities across teams -Collaborate with security, compliance and operations teams to embed encryption strategies, identity and access controls, logging, monitoring and incident response practices into every solution built on AWS
 
Requirements:
  • Combine extensive experience of at least twelve years in solution or enterprise architecture with deep exposure to large scale distributed systems and complex cloud adoption journeys across multiple industries Demonstrate strong hands on proficiency with AWS machine learning services including model training, deployment pipelines, monitoring practices and alignment with responsible AI guidelines in production environments -Exhibit advanced expertise in designing and operating AWS Data Pipeline or equivalent data orchestration solutions to support analytics, reporting and artificial intelligence workloads with high reliability and traceability Show solid experience adopting AWS Config and other governance tools to implement policy as code, resource compliance checks and environment baselines that align with organizational risk and regulatory expectations Display practical knowledge of AWS commerce related architectures including integration with payment providers, order management systems and front end channels while maintaining availability and performance targets Possess applied experience using AWS Bedrock text capabilities or similar generative AI services to design solutions that enhance productivity, personalize experiences and maintain control over prompts and outputs -Illustrate ability to work effectively in a hybrid model by coordinating with distributed teams, facilitating workshops and using collaboration tools to keep design, delivery and review activities aligned Hold strong skills in designing secure architectures that incorporate identity management, role based controls, network segmentation and encryption practices to protect sensitive information and business transactions Demonstrate competence in performance tuning, capacity planning and benchmarking to ensure that cloud native architectures meet response time objectives and scale smoothly with growth in user or data volumes Show proficiency in using infrastructure as code tools and automation practices to provision, configure and manage AWS resources consistently across development, testing and production environments Communicate clearly with technical and nontechnical audiences by explaining tradeoffs, options and impact in language that supports informed decisions and builds shared understanding of the architecture Exhibit continuous learning mindset by staying current with AWS service enhancements, emerging patterns in machine learning and generative AI, and sharing insights that shape the organizations long term technology roadmap
  • Years of Experience:   16.00 Years of Experience
 
Why Should You Apply?

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ICONMA, LLC

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