Ai Architect

About the Company Thought Focus helps forward looking companies and organizations in the financial services, manufacturing, and higher education/public services sectors innovate and achieve a better future faster.
Clients rely on Thought Focus for domain expertise, innovation, modernization, and the creative use of emerging technologies.
Dedication to client success, deep expertise in leading capabilities in business and technology transformation has been the cornerstone for success to our people, clients, partners and the planet.
The world's most innovative and valuable companies work with Thought Focus for their transformation journeys.
For 20 years, Thought Focus has been the trusted partner for the world's most admired organizations, solving mission-critical challenges in technology, processes, and cultural transformation.
Now, in a bold move to shape the future, – we've launched Thought Focus Build – a strategic expansion designed to help companies accelerate innovation and enhance EBIDTA with AI, AI employees, and modern, truly flexible hybrid captive center infrastructure services.
Thought Focus Build is built for organizations that refuse to settle.
We empower businesses to develop technology and software products faster and more efficiently, seamlessly integrating AI-driven automation to optimize operations, enhance agility, and unlock new growth opportunities.
Backed by Thought Focus's legacy of excellence, Thought Focus Build delivers the next generation of strategic consulting, technology solutions, and operational transformation – helping companies gain a competitive edge in an AI-powered world.
With headquarters in the U.
S., the company has more than 3,000+ employees in locations spread across five countries.
For more information, please visit the company website About the Role Job Title: AI Architect Location: Bengaluru (Onsite/Hybrid) Job Type: Full-Time Experience Required: 10+ Years Education: Bachelor's in engineering (mandatory) Role Overview We are looking for a hands-on Application Architect to lead, build, and implement cutting-edge AI solutions across both live projects and organizational-level initiatives .
This role demands a tactical executor—not a strategist—with deep expertise in Agentic AI , LLM orchestration , and AI enablement across SDLC .
You will work closely with engineering teams, project delivery leaders, and compliance stakeholders to drive practical, scalable, and secure AI adoption .
You must be comfortable designing, coding, mentoring, and delivering AI systems in real-world environments.
Key Responsibilities AI Solution Delivery - Lead architecture and development of Agentic AI systems and automation frameworks in live projects.
AI in SDLC - Champion adoption of AI tools (e.g., Claude 4, Cursor, Git Hub Copilot) in software design, development, and QA processes.
End-to-End Ownership - Own architecture, design, code, prompt workflows, evaluation, and integration of AI systems.
Compliance-Aware Design - Translate customer/compliance constraints into secure, enterprise-grade AI solutions.
Mentoring & Enablement - Train and guide teams on prompt engineering, RAG, LLM APIs, and engineering AI-first workflows.
Execution Focus - This is a tactical builder role—be ready to code, debug, and ship features directly.
Must-Have Qualifications Experience - 10+ years in engineering/architecture roles, with recent hands-on AI/LLM system experience.
Education - Bachelor's degree in engineering (mandatory).
AI Architecture - Experience designing and implementing Agentic AI systems using modern frameworks.
Hands-On Tools Proven expertise in:
• Agentic AI : Lang Chain, Auto Gen, Crew AI, Open Agents
• LLM APIs : Claude 3/4, Open AI, Hugging Face
• Prompt Engineering & Orchestration
• RAG Systems : FAISS, Pinecone, Weaviate
• Developer Tools : Cursor, Git Hub Copilot
• Languages : Python (must), Fast API Cloud/Infra - Working knowledge of deploying AI on AWS / GCP / Azure with containerized or serverless infra.
SDLC/Dev Ops Awareness - Strong foundation in CI/CD, testing, and version control tools.
Domain Fit - Experience in regulated domains like BFSI, Healthcare, or similar is a plus.
Soft Skills & Leadership Traits Execution-Oriented - Hands-on mindset: You build, test, and ship.
Team Player - Works closely with dev teams, product owners, and architects.
Mentor - Guides less-experienced engineers on AI practices.
Patient & Resilient - Can navigate resistance and coach teams with empathy.
Results-Focused - Always pushes toward measurable, practical outcomes.
Example Initiatives you will lead.
Implement Agentic AI-based automation systems for client projects.
Drive AI tooling into development and testing workflows (e.g., design reviews using Claude 4) Build reusable AI components and frameworks adopted org wide.
Collaborate with compliance and Info Sec teams to ensure AI adoption is audit ready.

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