The AI Forward Deployed Engineer works at the intersection of AI engineering and business partnering closely with stakeholders to identify use cases build prototypes and deliver production-grade AI solutions. This role requires hands-on experience with LLMs cloud platforms APIs and enterprise system integration along with strong problem-solving and communication skills.
Responsibilities
Identify and define AI use cases with business stakeholders
Design and develop AI/ML and GenAI-based solutions (LLMs RAG agents)
Build and deploy production-ready applications copilots and automation tools
Integrate solutions with enterprise systems APIs and databases
Collaborate with cross-functional teams for scalability security and reliability
Rapidly iterate prototypes based on feedback and performance metrics
Monitor and optimize solutions for accuracy latency and cost
Create technical documentation and deployment guides
Advise stakeholders on AI capabilities risks and best practices
Qualifications
Bachelors degree in Computer Science / Engineering / Data Science or equivalent
Experience with API-based development cloud platforms (AWS/Azure/GCP) and databases
Hands-on experience with AI/ML technologies (LLMs RAG embeddings vector DBs)
Strong problem-solving debugging and system design skills
Ability to work with business stakeholders and translate requirements
Comfortable in fast-paced ambiguous customer-facing environments
Primary Skills
Python / JavaScript / TypeScript / Java
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Prompt Engineering & Agentic Workflows
APIs & Microservices Development
Cloud Platforms (Azure / AWS / GCP)
System Design & Solution Architecture
Secondary Skills
Vector Databases (Pinecone FAISS etc.)
MLOps / CI-CD pipelines
Frontend frameworks (React Angular)
Security & Compliance in AI systems
Monitoring & Observability tools
Domain knowledge (Retail Healthcare Finance etc.)
Required Experience:
IC
DescriptionThe AI Forward Deployed Engineer works at the intersection of AI engineering and business partnering closely with stakeholders to identify use cases build prototypes and deliver production-grade AI solutions. This role requires hands-on experience with LLMs cloud platforms APIs and enterp...
Description
The AI Forward Deployed Engineer works at the intersection of AI engineering and business partnering closely with stakeholders to identify use cases build prototypes and deliver production-grade AI solutions. This role requires hands-on experience with LLMs cloud platforms APIs and enterprise system integration along with strong problem-solving and communication skills.
Responsibilities
Identify and define AI use cases with business stakeholders
Design and develop AI/ML and GenAI-based solutions (LLMs RAG agents)
Build and deploy production-ready applications copilots and automation tools
Integrate solutions with enterprise systems APIs and databases
Collaborate with cross-functional teams for scalability security and reliability
Rapidly iterate prototypes based on feedback and performance metrics
Monitor and optimize solutions for accuracy latency and cost
Create technical documentation and deployment guides
Advise stakeholders on AI capabilities risks and best practices
Qualifications
Bachelors degree in Computer Science / Engineering / Data Science or equivalent
At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better f
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