Senior Technical Lead

Job description

We are seeking a highly skilled Senior AI Engineer to lead the development of our next-generation Agentic AI systems. In this role, you will design, build, and scale advanced AI pipelines, focusing on complex RAG techniques, hybrid retrieval, and multi-agent workflows. You will work across the full stack—from engineering robust backend APIs to deploying scalable, secure AI solutions using Kubernetes and Docker. You will play a critical role in bridging enterprise data with AI capabilities using the Model Context Protocol (MCP), while ensuring our systems are highly performant, secure, strictly governed, and free from hallucinations. Key Responsibilities AI Engineering & Agent Development Pipeline Design: Design and run automated pipelines for RAG and AI Agents, including advanced hybrid RAG (vector + keyword retrieval). Agentic Workflows: Develop multi-step agents built on LangGraph for complex tasks like document classification and multi-step reasoning. Develop the full stack and integrations for Agentic AI systems. Hallucination Control & Grounding: Ensure outputs are grounded in context through source-cited responses, retrieval relevance checks, and checking model outputs against trusted enterprise data. Multi-Modal Processing: Process text, images, and documents (PDF/DOCX) utilizing advanced vision, text, and embedding models. Prompt Engineering: Implement robust prompt engineering and systematic prompt management. MCP Integration & Tooling Tooling & Integrations: Build Model Context Protocol (MCP) tools, servers, and integrations to securely expose enterprise data to AI assistants and agents (e.g., Claude). System Architecture, Scalability & Backend High-Performance Systems: Build highly scalable systems utilizing async and batch-parallel processing, caching mechanisms, and tuned vector search/database queries for massive document volumes. Traffic Management: Apply rate-limiting techniques including token bucket, sliding window, per-user/per-API quotas, and backoff/retry mechanisms for LLM and API calls. API Development: Develop robust, asynchronous REST APIs and webhooks (HMAC-SHA256 signed) using FastAPI. Security, Governance & Observability AI Security: Protect against prompt injections, detect and mask PII, filter sensitive data from prompts and responses, and implement strict AI guardrails. Governance: Build robust AI governance frameworks utilizing SSO (Keycloak/OAuth2/OIDC), role-based access control (RBAC), audit logging, and systematic evaluation of model outputs. Monitoring & Observability: Monitor systems by tracking LLM latency, token usage, cost, response quality, and data drift using LangSmith, complete with alerts and observability dashboards. Skill Requirements Technical Requirements & Stack Core Languages Python 3.11 JavaScript / TypeScript Bash Backend & APIs FastAPI, Uvicorn, Pydantic v2 / pydantic-settings httpx (HTTP/2), aiofiles, async I/O REST APIs and webhooks (HMAC-SHA256 signed) LLMs & AI Frameworks Models: Diverse knowledge of LLMs including gpt-oss-120b (text), pixtral-12b (vision), multilingual-e5-large (embeddings) or similar equivalents. Frameworks: LangChain, LangGraph (agent orchestration with checkpointing), LangSmith (tracing). RAG, Vector Search & Data Stores Milvus (pymilvus, langchain-milvus) or similar vector stores for vector storage and metadata-filtered search. LangChain text splitters for advanced chunking. MongoDB or similar NoSQL document stores. Model Context Protocol (MCP) FastMCP and the MCP Python SDK. Building JWT-secured MCP servers that allow external AI assistants to utilize internal search tools. Frontend React Security & SSO Keycloak SSO (OIDC / OAuth2). Advanced PII masking, sensitive-data filtering, and application guardrails. DevOps, Deployment & Infrastructure Docker, Kubernetes. Nginx (reverse proxy, SSL/TLS). RHEL 9 VMs, Git, and shell-script deployments. Experience managing CI/CD and deployments across five environments (dev/test/stage/pre-prod/prod) using Methods of Procedure (MOPs) for releases. Other Requirements What We Are Looking For Proven experience building and deploying production-grade AI agents, LLM pipelines, and RAG systems. Deep understanding of asynchronous Python programming and scalable backend architectures. Hands-on experience with vector databases and semantic search techniques. A security-first mindset with experience implementing SSO, data masking, and LLM guardrails. Strong DevOps fundamentals with the ability to manage deployments across strict, multi-stage enterprise environments. Maximum Salary (US): 148000 Minimum Salary (US): 78000 Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Compensation and Benefits A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. 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