AIML ENGINEER GenAI ENGINEER

Job Title: AI/ML ENGINEER/ GenAI ENGINEER

Location: Onsite Mclean Virginia (5 days onsite)

Duration: 6 Months Contract

Interview: Onsite Interview in Mclean VA

Job Description:

• Data Scientist Specialist

Position Summary:

• Client is seeking a highly experienced Principal Gen AI Scientist*with a strong focus on Generative AI (GenAI)*to lead the design and development of cuttingedge AI Agents Agentic Workflows and Gen AI Applications that solve complex business problems.
• This role requires advanced proficiency in Prompt Engineering Large Language Models (LLMs) RAG Graph RAG MCP A2A multimodal AI Gen AI Patterns Evaluation Frameworks Guardrails data curation and AWS cloud deployments.
• Candidate will serve as a handson Gen AI (data) scientist and critical thought leader working alongside full stack developers UX designers product managers and data engineers to shape and implement enterprise-grade Gen AI solutions.

Key Responsibilities:

• Architect and implement scalable AI Agents Agentic Workflows and GenAI applications to address diverse and complex business use cases.
• Develop finetune and optimize lightweight LLMs; lead the evaluation and adaptation of models such as Claude (Anthropic) Azure OpenAI and open-source alternatives.
• Design and deploy RetrievalAugmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases.
• Curate enterprise data using connectors integrated with AWS Bedrocks Knowledge Base/Elastic
• Implement solutions leveraging MCP (Model Context Protocol) and A2A (Agentto-Agent) communication.
• Build and maintain Jupyterbased notebooks using platforms like SageMaker and MLFlow/Kubeflow on Kubernetes (EKS).
• Collaborate with crossfunctional teams of UI and microservice engineers designers and data engineers to build full-stack Gen AI experiences.
• Integrate GenAI solutions with enterprise platforms via APIbased methods and GenAI standardized patterns.
• Establish and enforce validation procedures with Evaluation Frameworks bias mitigation safety protocols and guardrails for productionready deployment.
• Design & build robust ingestion pipelines that extract chunk enrich and anonymize data from PDFs video and audio sources for use in LLMpowered workflows-leveraging best practices like semantic chunking and privacy controls
• Orchestrate multimodal pipelines*using scalable frameworks (e.g. Apache Spark PySpark) for automated ETL/ELT workflows appropriate for unstructured media
• Implement embeddings drives-map media content to vector representations using embedding models and integrate with vector stores (AWS Knowledge Base/Elastic/Mongo Atlas) to support RAG architectures

Required Qualifications:

• PhD in AI/Data Science
• 10 plus years of experience in AI/ML with 3 years in applied GenAI or LLMbased solutions.
• Deep expertise in prompt engineering finetuning RAG GraphRAG vector databases (e.g. AWS Knowledge Base / Elastic) and multi-modal models.
• Proven experience with cloudnative AI development (AWS SageMaker Bedrock MLFlow on EKS).
• Strong programming skills in Python and ML libraries (Transformers LangChain etc.).
• Deep understanding of Gen AI system patterns and architectural best practices Evaluation Frameworks
• Demonstrated ability to work in crossfunctional agile teams.
• Need Github Code Repository Link for each candidate.
• Please thoroughly vet the candidates.

Preferred Qualifications:

• Published contributions or patents in AI/ML/LLM domains.
• Handson experience with enterprise AI governance and ethical deployment frameworks.
• Familiarity with CI/CD practices for ML Ops and scalable inference APIs.
• Please log in to Workday VNDLY to review the specific details.
• Thank you in advance for your attention and continued support.

Must Have Qualifications:

• Must have hands on experience with machine learning transitioned into GenAI.
• Rag Python Jupyter other Software knowledge using agents in workflows strong understanding of data.
• Preferred: Built AI agent MCP A2A Graph Rag deployed Gen AI applications to production.

Amit Kumar

Sr. Technical Recruiter

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