AI and API Engineer - Agentic AI Solutions Specialist
Accenture India Private Limited
Work from Office
Full Time
Min. 4 yearsJob Description
AI_API Engineer – Agentic AI Solutions - Specialist
Job Title - AI / API Engineer – Agentic AI Solutions_Specialist
Management Level : 09 - Specialist
Location: Mumbai / Bangalore
Must have skills:
- Strong Python development skills : Hands-on experience with APIs (REST APIs, authentication, OAuth, tokens), System integration experience
- Experience with LLM-based solutions : OpenAI, Azure OpenAI, or similar, Prompt structuring and tool/function usage
- Strong problem-solving and system design skills : Ability to design end-to-end workflows, Debugging complex, multi-component systems
- Strong Communication skills
Good to have skills:
- Experience with agentic frameworks (LangChain, Semantic Kernel, etc.)
- Experience with cloud platforms (preferably Azure)
- Knowledge of RAG (Retrieval-Augmented Generation)
- Familiarity with databases (SQL / NoSQL)
- Basic frontend or UI development (for internal tools)
- MS Office skills
Experience: 4-6 years
Educational Qualification: B.Tech/BE
Job Summary:
We are building a next-generation Agentic AI capability within Payroll, combining business expertise with engineering to automate and scale operations.
As an AI / API Engineer, you will design and build agentic AI solutions integrated with enterprise systems, while also mentoring internal talent transitioning into AI roles.
This role combines hands-on engineering, solution design, and enablement.
Roles & Responsibilities:
Build Agentic AI Solutions
Design and develop AI-driven workflows using LLMs (e.g., OpenAI, Azure OpenAI)
Implement multi-step “agentic” solutions combining reasoning, tools, and data
Ensure reliability, accuracy, and scalability of AI outputs
Integrate Enterprise Systems
Connect AI solutions to internal systems via APIs
Design and implement REST API integrations (authentication, data exchange)
Work with structured and unstructured data across multiple sources
Translate Business Problems into Solutions
Collaborate with payroll SMEs to understand real-world challenges
Break down problems into scalable AI + API architectures
Deliver production-ready solutions (not just prototypes)
Enable & Mentor Talent
Support upskilling of selected payroll professionals into AI engineers
Provide guidance, code reviews, and best practices
Contribute to building internal AI engineering capability
Ensure Engineering Best Practices
Write clean, maintainable, and well-documented code
Implement error handling, logging, and debugging practices
Contribute to reusable components and scalable design patterns
Profile We Are Looking For
4–6 years of experience in software engineering or related roles
Experience building real-world solutions, not just prototypes or courses
Strong ownership and ability to work in ambiguous environments
Interest in applied AI (not research-focused roles)
Ability and willingness to mentor and enable others
What Success Looks Like
AI solutions successfully integrated with payroll systems
Reduction in manual effort through automation
Internal team members successfully upskilled into AI roles
Scalable and reusable AI solution patterns established
Why Join This Initiative
Combine engineering + business impact. This is not pure research or data science role. We are looking for hands-on engineers who can build and integrate AI solutions into real business workflows
Work on cutting-edge agentic AI use cases in a real enterprise environment
Play a key role in building internal AI capability at scale
Opportunity to shape how AI is applied in global payroll operations
approaches for sustained competitive advantage.
Professional & Technical Skills:
a. Strong Python development skills
Hands-on experience with APIs
REST APIs, authentication (OAuth, tokens) System integration experience
Experience with LLM-based solutions
i. OpenAI, Azure OpenAI, or similar
ii. Prompt structuring and tool/function usage
Strong problem-solving and system design skills
i. Ability to design end-to-end workflows
ii. Debugging complex, multi-component systems
Additional Information:
- The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions on Agentic AI
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