Role description
Role Forward Deployed Engineer Anthropic Claude Agentic AI
Skill cluster GENAIAGENTICSolution Job name as Forward Deployed Engineer
Grade P5
Location India
Role Overview
We are seeking a highly skilled Forward Deployed Engineer FDE to work directly with customers to identify business challenges shape AI opportunities and design build and deploy enterprisegrade solutions powered by Claude Agentic AI and modern AI platforms The role combines consulting solution engineering rapid prototyping and customer engagement to accelerate AI adoption and business outcomes
Key Responsibilities
Partner with customers to understand business priorities and identify highvalue AI use cases
Lead discovery workshops solution shaping sessions PoCs and pilot implementations
Design and develop Claudepowered AI applications workflows and agentic solutions
Build enterprise knowledge assistants autonomous agents copilots and workflow automations
Implement model evaluation prompt engineering inference optimization and AI governance frameworks
Collaborate with account teams to convert opportunities into scalable engagements
Create reusable solution accelerators reference architectures and industryspecific assets
Support customer adoption through technical guidance architecture reviews and best practices
Required Skills
12 years of software engineering experience with minimum of 1 years experience in building AI solutions AI agents AI skills using Claude
Experience building Generative AI and Agentic AI solutions using LLMs
Handson experience with Claude OpenAI Gemini or equivalent LLM platforms
Strong proficiency in Python APIs orchestration frameworks and cloudnative development
Experience with RAG vector databases prompt engineering and AI application development
Knowledge of enterprise integration patterns security and Responsible AI practices
Ability to engage directly with customers and translate business requirements into technical solutions
Preferred Skills
Experience with Claude Code and AIassisted software engineering practices
Exposure to Amazon Bedrock Azure AI Foundry Google Vertex AI LangGraph MCP or similar AI ecosystems
Experience developing enterprise knowledge management search and agentic workflow solutions
Consulting architecture or customerfacing delivery experience
Success Measures
PoCs and pilots converted into funded engagements
AI solution adoption and business impact delivered for customers
Reusable assets and accelerators created for scale
Reduced timetovalue for customer AI initiatives
Contribution to demand generation chance shaping and revenue growth
📌 Associate Principal - Architecture (Bengaluru)
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