Website:
thinkwiseglobal.com
Job details:
Job Location: Remote — Hyderabad, Indore . Ahmedabad
Experience: 10+ Years
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:
Architecture Ownership
- Own end-to-end architecture: ingestion, knowledge/retrieval, agent reasoning, tool access, and governance.
- Design the knowledge lake across telemetry, voice-of-customer signals, CRM, backlog systems, documents, and repositories.
- Architect the MCP gateway, registry, servers, and connectors for governed tool and data access.
Multi-Agent System Design
- Design the multi-agent reasoning core: planner/re-planner, reasoning loops, memory, and agent collaboration.
- Architect solutions utilizing LLMs, RAG, knowledge systems, vector databases, and semantic search.
Governance & Evaluation
- Build governance as a first-class layer: audit trails, grounding, guardrails, human-in-the-loop, and graceful degradation.
- Establish AI governance, security, explainability, observability, and Responsible AI standards.
- Define the evaluation harness, quality metrics, and measurable baselines.
Delivery & Technical Direction
- Drive an end-to-end pilot on a real use case before scaling.
- Set technical direction for the offshore delivery pod.
- Create architecture blueprints, reference implementations, and reusable frameworks; guide engineering teams through implementation and technology decisions.
Required Skills & Experience
- 10+ years in software engineering/architecture, including 3+ years hands-on with agentic or multi-agent LLM systems in production.
- Proven greenfield architecture ownership on a complex, ambiguous system.
- Deep multi-agent orchestration expertise: planning, reasoning loops, tool use, memory, and agent collaboration.
- Strong RAG and knowledge architecture: embedding strategy, hybrid/semantic retrieval, vector stores, and grounding.
- Hands-on experience with agentic frameworks (LangGraph, LangChain, or equivalent) and MCP or comparable tool-access layers.
- Demonstrated AI safety and evaluation work: hallucination mitigation, guardrails, and evaluation harnesses.
- Strong Python and/or Java development experience, with API-first and microservices-based architecture background.
- Exceptional client-facing communication — able to hold your own with a senior technical executive.
- Still hands-on: writes code, builds prototypes, debugs real systems.
Education
- Bachelor’s or master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field
Click on Apply to know more.
