Overview
Skills
Job Details
Senior AI Developer (Bedrock & AI Workflows)
Location : Sunnyvale CA (Onsite)
Senior AI Developer with hands-on expertise in implementing AI workflows using AWS Bedrock. The role requires deep technical proficiency in building AI-driven solutions with data ingestion pipelines, RAG, embeddings, and vector databases. The ideal candidate should have strong experience in coding agentic workflows, implementing MCP, and integrating HIL and validation mechanisms into deployed systems.
Key Responsibilities
- Develop and maintain AI workflows leveraging AWS Bedrock services.
- Implement data ingestion and transformation pipelines for model readiness.
- Build RAG-based applications integrating embeddings and vector databases.
- Implement agentic workflows and reasoning strategies for task automation.
- Integrate MCP (Model Context Protocols) into workflow design.
- Develop and test Human-in-the-Loop (HIL) workflows and validation strategies.
- Write clean, optimized, and reusable code for scalable AI services.
- Collaborate with architects and product managers to ensure alignment of solutions.
- Debug, optimize, and improve model performance across deployments.
Required Technical Skills
- Hands-on experience with AWS Bedrock and AI service integrations.
- Strong programming skills in Python and experience with frameworks like LangChain, LlamaIndex, Hugging Face Transformers.
- Practical experience with RAG, embeddings, and vector databases
- Implementation experience with agentic workflows and multi-step reasoning.
- Understanding of Model Context Protocols (MCP) for context sharing.
- Knowledge of Human-in-the-Loop (HIL) validation and model governance.
- Experience working with REST APIs, SDKs, and microservices.
- Familiarity with cloud-based AI deployments (AWS).
- Strong debugging, testing, and optimization skills.
- Strong communication skills to work with cross-functional teams
HCLTech is not the employer for this role. This work is contracted through a third-party whose employees provides services to HCLTech and/or its clients.
Candidates interested in applying for this Contract opportunity must have a valid work authorization to work in the United States. We do not accept agency resumes and are not responsible for any fees related to unsolicited resumes. Candidates who are currently employed by a client of HCLTech may not be eligible for consideration, as decided on an individualized basis depending upon business considerations.
The expected pay range for this contract assignment is shown above with the Job details. The exact pay rate will vary based on skills, experience, and location and will be determined by the third-party employer.
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.