Job Location: Hyderabad, Ahmedabad, and Indore (India)

1. Employment Type: Full-Time, Embedded - Initial 6-month term with extension potential
2. Experience: 10+ Years
3. Role Type: Hands-on technical architect - not a delivery or engagement management role

About the Role

We are looking for an experienced Senior Agentic AI Solution Architect to serve as technical design partner for a strategic enterprise client building a greenfield, production-grade multi-agent AI platform. You will define the architecture from first principles, working directly with the client's senior engineering leadership.

The platform has two layers: an advisory layer that turns enterprise signals into root-cause analysis, backlog mapping, and next-best-action recommendations; and an execution layer that models requirements, self-validates solutions pre-deployment, and orchestrates readiness and go-live. The defining constraint is governed autonomy - the client operates in a regulated trust-and-compliance domain, so every autonomous decision must be auditable, factually grounded, and safe.

Key Responsibilities

1. Architecture Ownership
2. - Own end-to-end architecture: ingestion, knowledge/retrieval, agent reasoning, tool access, and governance.
3. - Design the knowledge lake across telemetry, voice-of-customer signals, CRM, backlog systems, documents, and repositories.
4. - Architect the MCP gateway, registry, servers, and connectors for governed tool and data access.
5. Multi-Agent System Design
6. - Design the multi-agent reasoning core: planner/re-planner, reasoning loops, memory, and agent collaboration.
7. - Define orchestration, planning, reasoning, and autonomous workflow architectures.
8. - Architect solutions utilizing LLMs, RAG, knowledge systems, vector databases, and semantic search.
9. Governance & Evaluation
10. - Build governance as a first-class layer: audit trails, grounding, guardrails, human-in-the-loop, graceful degradation.
11. - Establish AI governance, security, explainability, observability,



and Responsible AI standards.
12. - Define the evaluation harness, quality metrics, and measurable baselines.
13. Delivery & Technical Direction
14. - Drive an end-to-end pilot on a real use case before scaling.
15. - Set technical direction for the offshore delivery pod.
16. - Create architecture blueprints, reference implementations, and reusable frameworks; guide engineering teams through implementation and technology decisions.

Required Skills & Experience

1. - 10+ years in software engineering/architecture, including 3+ years hands-on with agentic or multi-agent LLM systems in production.
2. - Proven greenfield architecture ownership on a complex, ambiguous system.
3. - Deep multi-agent orchestration expertise: planning, reasoning loops, tool use, memory, and agent collaboration.
4. - Strong RAG and knowledge architecture: embedding strategy, hybrid/semantic retrieval, vector stores, and grounding.
5. - Hands-on experience with agentic frameworks (LangGraph, LangChain, or equivalent) and MCP or comparable tool-access layers.
6. - Demonstrated AI safety and evaluation work: hallucination mitigation, guardrails, and evaluation harnesses.
7. - Robust Python and/or Java development experience, with API-first and microservices-based architecture background.
8. - Exceptional client-facing communication - able to hold your own with a senior technical executive.
9. - Still hands-on: writes code, builds prototypes, debugs real systems.

Preferred / Good to Have

1. - Regulated or compliance-sensitive domain experience (privacy, GRC, security, financial services, healthcare).
2. - Consulting or client-embedded background.
3. - Experience with distributed onshore/offshore delivery models.
4. - Experience with cloud AI platforms such as Azure AI Foundry, AWS Bedrock, or Google Vertex AI.
5. - Familiarity with MLOps/LLMOps practices and model evaluation frameworks.

Education

1. Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field (or equivalent practical experience).

📌 Senior Agentic AI Solution Architect (Ahmedabad)
🏢 Whitekraaft Solutions
📍 Ahmedabad