Lead Agentic AI Architect for Enterprise Systems

BMC Software, Inc.; Polska; Hybrid; PLN 251,000 - 418,000; Full time

Job summary

BMC Software, Inc. seeks an experienced AI engineer to design, develop, and deploy enterprise-grade agentic AI applications using modern LLMs and frameworks. You will build autonomous agents capable of planning, reasoning, and task execution, and orchestrate multi-agent interactions with tools, APIs, and databases.

You will lead cross-team AI initiatives, drive observability and governance, and mentor engineers to raise the bar for quality, safety, and cost discipline in production systems.

Qualifications

• 5–8 years of relevant experience.
• Bachelor's or Master's in Computer Science, AI, ML, or related field (or equivalent).
• Hands-on experience with LLMs (OpenAI, Anthropic, Gemini, Llama, or equivalent).
• Familiarity with agentic frameworks (LangGraph, LangChain, CrewAI, or similar).
• Understanding of prompt engineering, tool/function calling, planning, reasoning, and workflow orchestration.
• Python, REST APIs, microservices, cloud, containers, CI/CD, and testing. depth varies by level.
• Evaluations for LLM/RAG/Agent use cases; observability (Langfuse, OpenSearch, OpenTelemetry).
• Strong communication and ownership mindset.
• Multi-team adoption of patterns you led.
• Sets technical direction for an AI area, not only features.
• Balances speed with enterprise quality, safety, and cost.

Responsibilities

• Design, develop, and maintain enterprise-grade agentic AI applications using modern LLMs and AI frameworks.
• Build autonomous and semi-autonomous AI agents capable of planning, reasoning, decision-making, and task execution.
• Develop multi-agent systems and orchestrate interactions between agents, tools, APIs, and enterprise applications.
• Integrate AI agents with internal and external services through APIs, databases, messaging systems, and workflow engines.
• Build and deploy RAG solutions using vector databases and enterprise knowledge sources.
• Optimize AI workflows for performance, scalability, reliability, and cost efficiency.
• Implement observability, monitoring, guardrails, and governance mechanisms for production AI systems.
• Build and run agent evaluations — define eval sets, test behaviour, iterate on prompts, tools, and workflows.
• Package and deploy solutions in production; apply strong diagnostics across the AI stack.
• Collaborate with product, architects, and stakeholders; contribute to reviews, documentation, and best practices.
• Define shared agentic patterns, evaluation practices, and production standards across teams.
• Lead architecture for cross-cutting AI capabilities used by multiple products/squads.
• Coach AI engineers; raise the bar for quality, safety, and cost discipline.
• Partner with AI Quality, SRE, and Security on release gates and ops practices.

Skills

LLM experience

Agentic frameworks

Prompt engineering

Python

REST APIs

CI/CD

Observability

Multi-team leadership

AI architecture

Communication

Education

Bachelor's or Master's in Computer Science, AI, ML, or related field

Tools

LangGraph

LangChain

CrewAI

vLLM

Ollama

Hugging Face

Langfuse

OpenSearch

OpenTelemetry

Job description

BMC Software, Inc. seeks an experienced AI engineer to design, develop, and deploy enterprise-grade agentic AI applications using modern LLMs and frameworks. You will build autonomous agents capable of planning, reasoning, and task execution, and orchestrate multi-agent interactions with tools, APIs, and databases.

You will lead cross-team AI initiatives, drive observability and governance, and mentor engineers to raise the bar for quality, safety, and cost discipline in production systems.