TT/Sr. Consultant - Agent Developer (LLM & Agentic Workflows)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

TT/Sr. Consultant - Agent Developer (LLM & Agentic Workflows) Senior Consultant - Agent Developer (LLM & Agentic Workflows) - Infosys Consulting Infosys Consulting's Tech Transformation Advisory Practice is seeking a Senior Consultant specializing in Agent Developer (LLM & Agentic Workflows) Position Overview: As a Senior Consultant you will Design and implement AI agents and agentic workflows that integrate seamlessly with enterprise applications through Enterprise AI Gateway , Local Execution Gateways , and MCP-based interoperability . Ensure compliance with Responsible AI (RAI) principles and enterprise governance standards. Responsibilities: - Agent Development - Build task-oriented and conversational agents using LLMs (OpenAI GPT, Claude, Llama) and frameworks - Implement retrieval-augmented generation (RAG) and tool-use for enterprise workflows. - LLM Framework Awareness - 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

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