reness**
- Core LLMs: OpenAI GPT, Claude, Llama, Azure OpenAI.
- Agentic Frameworks:
- LangChain (chains, tools, memory)
- CrewAI (multi-agent orchestration)
- Haystack (RAG pipelines)
- AutoGen (agent collaboration)
- LlamaIndex (document indexing & retrieval)
- DSPy (structured agent programming)
- Enterprise Platforms: AWS Bedrock, Microsoft Foundry, MoveWorks.
- Knowledge of deterministic vs probabilistic routing and multi-agent orchestration.
- Integration & Interoperability
- Expose agents via MCP servers for interoperability across gateways.
- Register agents in Persistent Registry with metadata for discovery and versioning.
- Governance & Compliance
- Apply OPA-based policies for security, data residency, and rate limiting.
- Implement Responsible AI controls (bias detection, explainability, provenance tagging).
- Observability & Performance
- Instrument agents with OpenTelemetry for tracing, metrics, and cost telemetry.
- Optimize prompts, caching, and fallback strategies to meet SLOs.
- Collaboration
- Work closely with AI Platform Engineers for gateway integration and Policy Leads for compliance alignment.
Required Skills
- LLM Development: Prompt engineering, RAG, function calling.
- Agent Frameworks: LangChain, Bedrock, Foundry, MoveWorks.
- API & Contracts: OpenAPI, JSON schema, REST.
- Interoperability: MCP protocol or equivalent adapter patterns.
- Governance: Familiarity with OPA/Rego and Responsible AI principles.
- Observability: OpenTelemetry, distributed tracing, performance tuning.
- Cloud & DevOps: Azure/AWS basics, containerization, CI/CD.
Client and Stakeholder Engagement:
- Build and maintain strong relationships with clients, understanding their needs and providing tailored IT solutions.
- Present project updates, findings, and recommendations to client executives and stakeholders in a clear and concise manner.
- Act as a person running the project activities, work with stakeholders through IT transformation processes.
Team Collaboration and Development:
- Collaborate with project teams, ensuring clear communication, effective collaboration, and timely delivery of milestones.
- Mentor junior team members, fostering a culture of continuous learning and professional growth.
Basic Qualifications:
- Bachelor's degree or equivalent experience.
- Minimum of 5+ years in in backend or AI application development.
- Proven experience integrating AI agents into enterprise systems.
- Strong strategic thinking and problem-solving abilities.
- Effective communication and presentation skills.
- Proven ability to collaborate with and support project teams.
- Ability to travel up to 75%.
- Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
Preferred Qualifications:
- Strong problem-solving skills and the ability to work independently.
- Good program/project management skills, including interviewing clients, process mapping, project planning, and stakeholder communication.
- Good presentation skills and experience supporting successful project proposals.
This job description may not cover or contain a comprehensive listing of all activities, duties and responsibilities that are required of the employee.
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: -
- Medical/Dental/Vision/Life Insurance
- Long-term/Short-term Disability
- Health and Dependent Care Reimbursement Accounts
- Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
- 401(k) plan and contributions dependent on salary level
- Paid holidays plus Paid Time Off