Design, build, and maintain data lineage and Gen AI/LLM-powered systems for large, multi-language codebases, owning backend services, deployment pipelines, and user-facing interfaces.
Compensation
$94,300.00 - $141,500.00
Responsibilities
Design and build engines that parse multiple programming and query languages to extract accurate, column-level data lineage.
Build Gen AI/LLM-powered retrieval and assistant capabilities on top of lineage and metadata.
Develop backend services and interfaces that expose them, from data processing through to user-facing views.
Own the delivery pipeline—build, test, deployment, and production support across environments.
Translate ambiguous requirements into clean, efficient, well-structured designs.
Requirements
Bachelor’s degree/University degree or equivalent experience
As a Senior AI Engineer on the Microsoft Office AI team, you will bring AI-native work experiences across Copilot in Office and the Copilot SuperApp, turning insights into production-grade domain agents.
Locations (3)
Redmond, Washington, United States
San Francisco, California, United States
New York, New York, United States
Compensation
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Responsibilities
Architect, prototype, and lead the iteration on AI agent experiences that reimagine domain-specific workflows across Copilot in Office and Copilot Cowork
Drive the delivery of features by operating at the intersection of SWE, applied science, product, and domain expertise
Applications Development Sr Programmer Analyst - Assistant Vice President
Build autonomous and semi‑autonomous AI agents and multi‑agent systems for enterprise applications.
Compensation
The range listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. At BMC, it is not typical for an individual to be hired at /near the top of the range. A reasonable estimate of the current range is zł 251,025 - zł 418,375
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.
Requirements
Bachelor's or Master's in Computer Science, AI, ML, or related field (or equivalent experience)
Nice to have: frontier/foundation models beyond API usage
Nice to have: open‑weight models and local inference (vLLM, Ollama, Hugging Face)
Nice to have: data exploration techniques and tools
Build autonomous and semi-autonomous AI agents, develop multi-agent systems, integrate with enterprise applications, and lead AI architecture.
Compensation
The range listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. At BMC, it is not typical for an individual to be hired at /near the top of the range. A reasonable estimate of the current range is zł 251,025 - zł 418,375
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.
Requirements
Bachelor's or Master's in Computer Science, AI, ML, or related field (or equivalent experience).
Nice to have: Frontier/foundation models beyond API usage
Nice to have: Open-weight models and local inference (vLLM, Ollama, Hugging Face)
Nice to have: Data exploration techniques and tools
Design, build, and operationalize security capabilities across agentic AI and cloud environments, ship production‑grade security controls, and lead incident response and remediation workflows.
Compensation
$164,500—$235,000 USD
Responsibilities
Build secure agent runtimes, reusable libraries, reference implementations, and validation pipelines for agentic AI applications and workflows
Implement secure agent patterns including planner/executor flows, tool routing, structured outputs, memory/state controls, and RAG trust boundaries
Design and implement security controls for cloud‑native environments across AWS, Azure, and GCP, including IAM, workload protection, and logging
Partner with platform and engineering teams to embed secure‑by‑default cloud controls into shared services and developer workflows
Lead incident response, triage, and remediation workflows for cloud platforms and AI systems in partnership with SOC and engineering teams
Engineer responsible for scaling and reliability of AI agents for GTM teams.
Compensation
Starting salary for this role is $140,000–$170,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
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