Us
AutomationandAISolutionsLead
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“Automation and AI Solutions Lead at Us. Skills: Automation, AI Solutions, GenAI, LLM, Multi-agent systems, AWS. Engage SMEs to understand processes. Translate processes into AI requirements”
What You'll Achieve.
Deliver reliable AI solutions; Deliver scalable AI solutions; Create measurable business impact
Industry & Context.
Debug production failures; Troubleshoot agent loops; Troubleshoot latency regressions
3 days from office, 1pm IST to 10pm IST shift
What They're Looking For.
Must Have
5–8 years experience, 2–4 years production GenAI/LLM, 12–24 months multi-agent 3+ systems owned post-deployment, LangGraph expertise, LangChain expertise, AWS AgentCore expertise, AWS Bedrock expertise, SQL proficiency, NL-to-SQL proficiency, LLM-powered query layers proficiency, REST API development, MCP awareness, enterprise system connectors, Advanced RAG knowledge, Evaluation Frameworks knowledge, Observability knowledge, Expert-level Python, Multi-Model knowledge, Working knowledge of Copilot Studio, Working knowledge of Power Automate, AI Development Tools proficiency, Stakeholder Communication skills
Nice to Have
Snowflake experience a plus, AWS AgentCore deep expertise, MCP production implementation, A2A production implementation, Google Agentspace production experience, Azure AI Foundry production experience, Document Intelligence experience, Fine-Tuning experience, AWS ML Specialty certification, Azure AI Engineer certification, GCP ML Engineer certification
What You'll Do.
Engage SMEs to understand processes
Translate processes into AI requirements
Demo working solutions to stakeholders
Support Architect in feasibility
Contribute to rapid builds
Validate fit during POC
Maintain stakeholder communication
Provide progress updates
Walkthrough solutions
Co-invest in solution design
Translate architecture into plans
Break down into streams
Own technical decisions during build
Identify architectural risks
Build solution components end-to-end
Scale solutions from POC to production
Debug production failures
Debug hallucination patterns
Debug retrieval degradation
Debug latency regressions
Accelerate delivery with AI tools
Build Low Code automations
Debug implementations
Ensure team uses AI tools effectively
How You'll Work.
Team & Collaboration
Work with architects; Work with developers; Work with stakeholders; Guide Developer; Guide Associate
Communication Scope
Stakeholder communication; Demo AI solutions; Translate SME knowledge
Process & Methodology
Implementation plans
Full Job Description
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
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