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Salary
≈ $27k – $47k per year (Estimated)
Location
Hybrid (Coimbatore, India)
Seniority
Staff · 12+ years exp

First seen by Alion on Oct 28, 2026.

Overview
Company
Impact
Profile match
Techjays is enabling the world to reimagine what's possible with AI. We partner with visionary leaders to unlock the economic potential of AI for American business and industry.

Senior AI Solution Architect

Experience : 12+ Years

Location : Coimbatore (Hybrid)

Employment Type : Full-Time

Joining : Immediate / Within 30 Days

About the Role :

Techjays is looking for a Senior AI Solution Architect who can understand client business challenges and translate them into compelling AI-native architectures.

The role requires strong technical expertise across AI systems, cloud technologies, distributed systems, and enterprise architecture, along with the ability to lead client discussions and solution presentations.

Key Responsibilities :

- Design AI-native architectures aligned with client business challenges.

- Work with Python, REST APIs, microservices, and distributed systems.

- Design solutions involving cloud platforms, Docker, Kubernetes, and CI/CD.

- Develop AI-enabled solutions using LLM integrations, RAG pipelines, AI agents, and Agentic AI workflows.

- Work with MCP, vector databases, LangChain, LlamaIndex, and prompt engineering.

- Apply knowledge of LLMOps, multi-agent orchestration, and enterprise data architecture.

- Lead client presentations, RFP responses, proposals, and solution decks.

- Ensure enterprise architectures address security, scalability, and compliance requirements.

- Communicate technical solutions clearly to C-level stakeholders.

- Translate client business challenges into clear technical solutions.

Required Skills and Experience :

- 12+ years of technology experience, including 3 - 4 years in architecture roles.

- Strong hands-on experience with Python, REST APIs, microservices, and distributed systems.

- Deep expertise in AWS, Azure, or GCP, along with Docker, Kubernetes, and CI/CD.

- Strong understanding of LLM integrations, RAG pipelines, AI agents, and Agentic AI workflows.

- Hands-on experience with MCP, vector databases, LangChain or LlamaIndex, and prompt engineering.

- Experience with LLMOps, multi-agent orchestration, and enterprise data architecture.

- Proven ability to lead client presentations, RFPs, proposals, and solution decks.

- Strong understanding of security, scalability, and compliance in enterprise systems.

- Excellent C-level stakeholder communication and presentation skills.

- Client-first mindset with the ability to translate business challenges into technical solutions.

Skills

Solution Design, Solution Architect, Artificial Intelligence, AI Architecture, Python, AWS, LangChain, LLM

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