Forward Deployment Engineer

Ovii's Interpretation of the Role

The Forward Deployment Engineer partners with enterprise customers to translate business challenges into AI‑driven solutions on AWS, building prototypes and guiding them to production. The role blends consulting, solution architecture, rapid prototyping, and stakeholder engagement.

Role Snapshot

• Customer‑facing AI solution engineer
• AWS & Generative AI specialist
• Rapid prototype to production delivery
• Business problem translation
• Cross‑functional collaboration

Must-Have Requirements

• AWS services (Bedrock, Lambda, S3, API Gateway, DynamoDB, OpenSearch, ECS/EKS)
• Generative AI concepts (LLMs, RAG, Prompt Engineering, AI Agents)
• AI frameworks (LangChain, LangGraph, CrewAI, OpenAI, Anthropic)
• Solution design & architecture
• Prototype development (POC, MVP)
• Customer discovery & workshops
• Stakeholder communication & presentation
• Solution Engineering
• Technical Consulting
• Business Analysis
• Product Engineering
• Presales

Nice-to-Have Signals

• AWS Solutions Architect Associate or Professional certification
• Agentic AI architectures & multi‑agent systems
• Production‑grade AI applications on AWS
• Vector databases (OpenSearch, Pinecone, Weaviate, Chroma)
• UI/UX design tools (Figma, design thinking)
• DevOps / CI‑CD / cloud‑native architectures
• MBA or product management experience
• Public speaking at webinars or technical events
• Familiarity with Model Context Protocol (MCP)
• Experience with AI evaluation frameworks and observability tools
• AWS Solutions Architect certification
• Agentic AI architecture experience
• Production AI application development
• AWS Solutions Architect Associate
• AWS Solutions Architect Professional

Work Setup

• Location: Pune, India
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Travel: Travel to customer locations across India and internationally as required
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period

What You'll Likely Work On

• Conduct discovery workshops to surface AI and automation opportunities
• Design AI‑powered solution architectures aligned with customer objectives
• Build and iterate proof‑of‑concepts using AWS Bedrock and related services
• Transition prototypes into production‑grade deployments
• Demonstrate solutions and train customers for adoption
• Document architectures, workflows, and reusable accelerators
• Collaborate with presales, product, and engineering teams to shape offerings

Good Fit If You Have

• Comfortable engaging CXOs, business users and engineering teams
• Strong analytical and problem‑solving mindset
• Thrives in ambiguous, fast‑paced environments
• Excellent written and verbal communication skills
• Willingness to travel and work on‑site at customer locations