Are you passionate about Automation and AI and eager to make a significant impact? We are seeking a highly motivated Automation & AI Solutions Lead with strong organizational and technical skills.You will work closely with architects, developers, and business stakeholders to translate real-world problems into robust AI systems. The role demands deep expertise in LangGraph, LangChain, and AWS-based deployments, with accountability from discovery through production. Success in this role means delivering reliable, scalable AI solutions that create measurable business impact. If you're excited to make real impact, apply now and be part of our innovative journey!
About the Role
In this role as an Automation & AI Solutions Lead, you will:
Stakeholder Engagement & Discovery
Engage internal SMEs to understand current processes and as-is workflows — translate into buildable AI requirements.
Demo working solutions to internal stakeholders up to business leadership level.
Support the Architect during feasibility and POC phases — contribute to rapid builds and validate fit.
Maintain stakeholder communication throughout: progress updates, issue escalation, solution walkthroughs.
Solution Design & Architecture
Co-invest with the Architect in upfront solution design — design robustness directly determines build speed and test quality.
Translate architecture into implementation plans — break down into assignable streams for Developer and Associate.
Own day-to-day technical decisions during build when the Architect is focused on other projects.
Identify architectural risks early and escalate before they become build or production problems.
Build, Scale & Production
Build complex solution components end-to-end on AWS AgentCore and LangGraph — hands-on coding role.
Scale solutions from POC to production: performance, reliability, monitoring, and cost management.
Debug production failures: hallucination patterns, retrieval degradation, agent loops, latency regressions.
Use AI coding tools (Claude Code, GitHub Copilot, Cursor, Cline) to accelerate delivery. Own all generated code.
Build Low Code automations (Copilot Studio, Power Automate) when use case and bandwidth allow.
Team Leadership
Guide Developer and Associate through implementation, code reviews, and debugging.
Ensure the team uses AI tools effectively — accelerating delivery without sacrificing code understanding.
Work Mode: Hybrid - 3 days from office.
Shift Timing: 1pm IST to 10pm IST
About You
You’re a fit for the role of Automation & AI Solutions Lead, if your background includes:
Must Have:
Experience — 5–8 years total; 2–4 years production GenAI/LLM; 12–24 months multi-agent LangGraph; 3+ systems owned post-deployment.
LangGraph — Multi-agent state machines, parallel execution, checkpointing, HITL — non-negotiable.
LangChain — Advanced chains, memory, custom tool integration.
AWS AgentCore — Production deployment preferred; strong LangGraph depth with ramp path acceptable.
AWS Bedrock — Model deployment, knowledge bases, guardrails.
Database & AI Data Access — SQL proficiency, NL-to-SQL, LLM-powered query layers. Snowflake a plus.
Systems Integration — REST API development, MCP awareness, enterprise system connectors.
Advanced RAG — Hybrid search, re-ranking, query reformulation, retrieval evaluation.
Evaluation Frameworks — RAGAS / TruLens, golden test sets, automated regression pipelines.
Observability — LangSmith or LangFuse — agent tracing, production debugging.
Python — Expert-level — design patterns, async, testing, CI/CD.
Multi-Model — OpenAI, Claude, Gemini, Llama — trade-offs at production scale.
Pro Code vs Low Code — Working knowledge of Copilot Studio and Power Automate; build when use case fits.
AI Development Tools — Claude Code, GitHub Copilot, Cursor, or Cline — accelerate delivery; own and fix all generated code.
Stakeholder Communication — Demo AI solutions to business stakeholders; translate SME knowledge into requirements.
Good to Have:
AWS AgentCore Deep — All services hands-on.
MCP / A2A — Server/client production implementation.
Google Agentspace / Azure AI Foundry — Production experience.
Document Intelligence — OCR, layout-aware chunking.
Fine-Tuning — LoRA / QLoRA for domain adaptation.
Certifications — AWS ML Specialty, Azure AI Engineer, GCP ML Engineer.
What We Expect From You
Customer Obsession - Proactively understand customer goals and deliver measurable value.
Competitive Drive - Set high standards, demonstrate tenacity, and ensure our solutions lead in quality.
Challenging Mindset - Foster fact-based dialogue, challenge assumptions, and encourage disruptive thinking.
Action and Learning Velocity - Build fast, fail fast, learn fast. Iterate rapidly and make data-driven decisions.
Collaboration and Accountability - Collaborate across a global team with humility, ownership, and mutual accountability.
Why Join Us?
Build production agentic AI at global scale — real systems, real impact.
Work with AWS AgentCore, LangGraph, MCP, A2A, and AI-powered development tools.
Operate in a high-trust team where Architect, Lead, Developer, and Associate work in sync.
A culture of rapid learning, fast iteration, and genuine technical excellence.
#LI-GS2
What’s in it For You?
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com.
Skills Required
- 5-8 years total experience
- 2-4 years production GenAI/LLM experience
- 12-24 months multi-agent LangGraph experience
- 3+ systems owned post-deployment
- Expert-level Python skills
- Experience with AWS AgentCore
- Stakeholder communication skills
What We Do
Thomson Reuters (NYSE / TSX: TRI) informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. The company serves professionals across legal, tax, accounting, compliance, government, and media. Its products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. For more information, visit tr.com.
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