Java API Forward Gen AI engineers

Zensar Technologies

Pune District

On-site

INR 1,800,000 - 3,000,000

Full time

12 days ago
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Job summary

Zensar Technologies in Pune is seeking an AI Solutions Architect to collaborate with business stakeholders to identify and define AI use cases, and to design GenAI-based solutions (LLMs, RAG, agents) that deliver real business value.

You will build and deploy production-ready applications, copilots, and automation tools, integrate with enterprise systems and APIs, and work with cross-functional teams to ensure scalability, security, and reliability while iterating quickly based on performance

Qualifications

  • Bachelor’s 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.

Responsibilities

  • Identify and define AI use cases with business stakeholders.
  • Design and develop AI/ML and GenAI-based solutions (LLMs, RAG, embeddings).
  • 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.

Skills

AI problem solving
Debugging
System design
Requirements translation
Stakeholder collaboration

Education

Bachelor’s degree in Computer Science / Engineering / Data Science

Tools

API-based development
AWS
Azure
GCP
Databases
Embeddings
Vector databases

Job description

  • 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
  • Bachelor’s 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
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