BNY Mellon

Vice President, Infrastructure Solution Engineer

BNY Mellon
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24 days ago
Pune, IndiaStaff+

Responsibilities

  • Build and maintain Python-based AI workflows using LLM orchestration frameworks.
  • Integrate LLM APIs and SDKs to develop conversational agents, RAG pipelines, and tool-using agents.
  • Implement multi-agent orchestration, stateful workflows, tool calling, memory management, and human-in-the-loop processes.
  • Convert business SOPs and runbooks into executable workflows with routing and escalation logic.
  • Identify repetitive processes and design AI-agent automation solutions using APIs, databases, and ticketing systems.
  • Design autonomous or semi-autonomous agents with guardrails, confidence thresholds, and fallback paths.
  • Collaborate with stakeholders to capture business logic, edge cases, and exception handling requirements.
  • Monitor agent performance, analyze failures, and iterate on prompts, routing, and tool definitions.
  • Decompose requirements into technical tasks with acceptance criteria and produce technical documentation.
  • Debug and root-cause issues across databases, LLM behavior, and application interfaces.

Requirements

  • Bachelor's or higher degree in computer science, engineering, or a related discipline, or equivalent work experience.
  • Solid Python proficiency, including async/await, type hints, virtual environments, and packaging.
  • Hands-on experience with LangChain, LangGraph, LlamaIndex, or an equivalent LLM orchestration framework.
  • Experience consuming LLM APIs such as OpenAI, Azure OpenAI, Anthropic, or Cohere.
  • Knowledge of prompt engineering and agentic AI concepts including tool calling, function calling, ReAct patterns, RAG, and vector stores.
  • Familiarity with FastAPI or a similar Python API framework.
  • Ability to translate ambiguous business problems into technical requirements and troubleshoot across system layers.
  • Ability to interpret SOPs, business process documents, and workflow diagrams.
  • Familiarity with Git, Docker, and CI/CD basics.
  • Ability to communicate technical concepts clearly to non-technical stakeholders.

Benefits

  • Competitive compensation, benefits, and wellbeing programs.
  • Flexible global resources and tools, health and resilience programs, and financial wellness support.
  • Generous paid leave, including paid volunteer time.
  • Equal Employment Opportunity/Affirmative Action employer.
  • Work location: Pune.

Tech Stack

AngularDockerFastAPIGitPython

Categories

BNY Mellon

About BNY Mellon

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