Job Description

At TechX, we are pioneers in delivering cutting-edge solutions that empower businesses to thrive in today’s digital landscape. With a strong focus on Cloud Transformation (AWS), Data Modernization, and Generative AI, we bring unparalleled expertise to drive innovation, efficiency, and growth for our clients.

We specialize in banking and financial services, retail, manufacturing, and transportation, delivering impactful solutions that address industry-specific challenges and significant market shifts.

Together, we’ll build a future where innovation knows no limits.

We are looking for an experienced AI/ML Architect to own the technical foundation of our agentic AI platform. You will define the reference architecture for our multi-agent, RAG-based system, set model and evaluation governance standards, and make the key build decisions the platform depends on. This is a hands-on leadership role for an architect who can both design the blueprint and guide engineers in delivering production-grade, auditable GenAI systems for enterprise and regulated industries.

Key Responsibilities:

• Own the end-to-end reference architecture for the agentic platform: model/LLM strategy, RAG design, agent orchestration, and tool-use patterns.

• Define model governance: model selection (cloud and local / open-weight), evaluation approach, quality gates, versioning, and traceability.

• Set architecture standards for security, human-in-the-loop (HITL), audit logging, and data control in regulated enterprise deployments.

• Make build-vs-buy and infrastructure decisions across cloud and on-premise execution environments.

• Guide and review the work of runtime, RAG/data, and platform engineers to ensure architectural consistency.

• Partner with Solution Engineering, Product, and cloud-alliance teams to translate customer use cases into a scalable reference design.

Key Requirements:

• 5+ years in ML/AI engineering, with 2+ years in an architect or technical-lead capacity.

• Proven track record designing and shipping Generative AI / RAG / agentic systems in production.

• Deep understanding of RAG, agentic frameworks, multi-agent orchestration, DeepSearch, and evaluation methodology.

• Strong hands-on experience with LangChain / LlamaIndex and vector databases (Qdrant, ChromaDB, OpenSearch, Pinecone).

• Solid understanding of the Model Context Protocol (MCP) and modern agent tool-use patterns.

• Experience with AI platforms - Azure AI, Vertex AI; bonus for AWS Bedrock / SageMaker — and self-hosted inference (vLLM, llama.cpp, GGUF models).

• Experience designing for security, governance, audit, and HITL in regulated environments (BFSI, government) is a strong plus.

• Strong computer science foundation; proficiency with REST API, gRPC, WebSocket, microservices, and cloud-native architecture.

• Excellent communication skills to align engineering, product, and customer stakeholders around an architecture vision.

What We Offer:

• Innovative Environment: A dynamic and collaborative work environment where innovation is encouraged.

• Professional Growth: Opportunities for professional growth and development through continuous learning and exposure to cutting-edge technologies.

• Competitive Package: Competitive salary and benefits package

• Impactful Work: The chance to work on cutting-edge projects with industry-leading clients, making a tangible impact on their business success.

Apply now!

Due to the high volume of applicants, only shortlisted candidates will be contacted. We apologize for this inconvenience!