Senior Level AI Specialist Jobs
Senior level ai specialist jobs put experienced professionals in charge of AI strategy, model architecture decisions, and the technical teams or workstreams that deliver results at scale. Openings concentrate in Technology & Software, Artificial Intelligence, and Banking & Financial Services, with 36% remote or hybrid availability, and employers like Google, NVIDIA, and Goldman Sachs hiring at this level now.
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Gen AI Lead – LangGraph Specialist
We are looking for a seasoned Gen AI Lead with deep expertise in LangGraph to join our team in Pleasanton, CA. You will architect and lead the development of agentic AI systems using LangGraph, driving production-grade multi-agent workflows.
Key Responsibilities
- Design and build complex stateful, multi-agent AI systems using LangGraph
- Lead a team of AI/ML engineers in delivering Gen AI solutions
- Define architecture patterns for graph-based agent orchestration
- Collaborate with product and engineering teams to align AI solutions with business objectives
- Establish best practices for LLM-powered agent development and deployment
- Drive evaluation, fine-tuning, and observability strategies
Requirements
- 10+ years of overall software/AI/ML engineering experience
- 3+ years of hands-on experience with LangGraph or equivalent agent orchestration frameworks
- Strong proficiency in Python and LLM APIs (OpenAI, Anthropic, etc.)
- Experience building production multi-agent and stateful AI workflows
- Excellent understanding of graph-based state machines and workflow orchestration
- US Green Card or Citizenship required
- Must be willing to work onsite in Pleasanton, CA
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Find JobsSenior Level AI Specialist Job Market
Who's Hiring
- Google9
- NVIDIA3
- Goldman Sachs3
- ZS2
- Citi2
Top Industries Hiring
- Technology & Software30
- Artificial Intelligence11
- Banking & Financial Services11
- Investment & Asset Management10
- Consulting & Professional Services7
Senior Level AI Specialist Jobs: Frequently Asked Questions
How do I get a senior level ai specialist job?
Employers hiring at this level look for candidates who have owned the full lifecycle of AI systems, from scoping and architecture through deployment and iteration. Demonstrated ability to mentor junior engineers, influence technical direction, and communicate tradeoffs to non-technical stakeholders gives candidates a clear edge. A portfolio of shipped models or production AI systems carries more weight than certifications alone.
Which companies hire senior level ai specialists?
Companies hiring senior level ai specialists right now include Google, NVIDIA, and Goldman Sachs, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers large technology companies, healthcare systems, financial institutions, and consulting firms that are scaling AI capabilities and need experienced professionals to lead those efforts.
Are there remote senior level ai specialist jobs?
Yes, remote and hybrid options are common at the senior level. About 36% of senior level ai specialist openings are remote or hybrid as of July 2026, reflecting how many organizations treat experienced AI professionals as location-flexible contributors. On-site roles do exist, particularly in regulated industries or at companies with significant on-premise infrastructure requirements.
What makes an ai specialist role senior level?
Senior level ai specialist roles are defined by ownership rather than execution. You are expected to set technical direction, make architectural decisions independently, mentor mid-level and junior team members, and align AI initiatives with broader business objectives. The scope is larger, the ambiguity is higher, and the expectation is that you resolve problems rather than escalate them.
Which industries hire the most senior level ai specialists?
Senior level ai specialist roles concentrate in Technology & Software, Artificial Intelligence, and Banking & Financial Services, based on current listings on Migrate Mate as of July 2026. These sectors drive demand because they are investing heavily in building or scaling AI infrastructure, and they need experienced specialists who can lead that work rather than learn on the job.