Our Partner is seeking a highly experienced and seasoned expert engineer to support a critical Generative AI optimization engagement for a large-scale enterprise customer. This role requires deep technical expertise in AWS cloud architecture and cutting-edge GenAI technologies, with a focus on enterprise-scale optimization, modernization, and operational excellence.
Responsibilities- Model Routing & Orchestration
- Design and implement intelligent model routing logic using ML-based classification to direct requests to appropriate LLMs based on conversational context, task complexity, and performance requirements
- Build and maintain orchestration layers (e.g. using AWS Bedrock, LangChain, or custom frameworks) to manage multi-model workflows
- Train, evaluate, and iterate on classification models that drive routing decisions using evaluation frameworks and feedback loops
- Conversation Contextualization
- Architect and implement conversation context analysis systems that extract intent signals and contextual features from multi-turn interactions to inform routing decisions
- Design context retrieval and embedding strategies to analyze conversational history and accurately interpret user intent across multi-turn interactions
- Develop prompt engineering standards and context window management techniques to support accurate intent classification and routing across production use cases
- Enterprise Platform Engineering
- Architect Gen AI solutions that scale to enterprise workloads - including high-availability design, performance optimization, and cost management
- Apply Gen AI platform best practices: observability, model evaluation, guardrails, responsible AI controls, and versioning
- Design and maintain data extraction and transformation pipelines to support model training, evaluation, and integration with enterprise applications
- Delivery & Collaboration
- Participate fully in Agile/Scrum ceremonies: sprint planning, daily standups, retrospectives, and sprint reviews
- Collaborate with the Engagement Manager to track progress, surface risks, and ensure delivery aligns with contractual commitments
- Produce clear technical documentation, architecture diagrams, and handoff artifacts consistent with delivery standards
- Engage directly with customer stakeholders and technical counterparts to gather requirements and validate solutions
Requirements- TS/SCI CI Poly Clearance
- Generative AI (expert level)
- 5+ years of software development and cloud architecture experience
- 2+ years of hands-on AWS experience with production workloads
- 2+ years of experience with Generative AI technologies and LLM deployment
- Prove track record of enterprise-scale architecture design and implementation
- Experience with Partner's customers
- Deep understanding of GenAI foundation models and deployment patterns
- Strong programming skills in Python and infrastructure-as-code tools
- Experience with vector databases and semantic search technologies
- Expert-level knowledge of AWS services including: Amazon Bedrock, OpenSearch Service, CloudWatch, ECS/EKS, RDS/DynamoDB
- Strong understanding of security automation and compliance frameworks
- Ability to work independently and drive initiatives with minimal oversight
- Strong problem-solving and analytical thinking capabilities
- Experience leading technical discussions and influencing architecture decisions
- Comfortable working in ambiguous, fast-paced environments
- Customer-obsessed mindset with focus on delivering measurable outcomes
- Able to travel onsite periodically for meetings and ceremonies
