Senior Level AI Developer Jobs
Senior level ai developer jobs put experienced practitioners in charge of architectural decisions, model development pipelines, and the engineering teams or research functions that bring those systems to production. Roles cover on-site, hybrid, and remote settings across Technology & Software, Banking & Financial Services, and Consulting & Professional Services, with employers like Google, NVIDIA, and Gartner hiring at this level now.
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AI Lead Developer – Agentic AI & GenAI
Location: Exton, PA Onsite
Employment Type: Full-Time
Key Responsibilities
- Design and develop enterprise-grade Agentic AI and Generative AI solutions.
- Build multi-agent systems using LangGraph, AutoGen, ADK, MCP, and related frameworks.
- Develop RAG-based applications leveraging vector databases and enterprise knowledge sources.
- Build scalable APIs and AI microservices using Python, FastAPI, and cloud-native architectures.
- Deploy AI solutions on AWS, Azure, or GCP using Docker, Kubernetes, and CI/CD pipelines.
- Implement AI security, governance, observability, and guardrails.
- Collaborate with business, product, and engineering teams to deliver AI-driven solutions.
- Conduct code reviews, mentor engineers, and contribute to AI architecture and roadmap planning.
Required Skills
- 10+ years of software engineering experience with 4+ years in AI/GenAI solutions.
- Strong Python development experience with FastAPI or Flask.
- Hands-on experience with:
- LangChain
- LangGraph
- AutoGen
- ADK
- MCP (Model Context Protocol)
- Multi-Agent Architectures
- Experience building RAG pipelines, embeddings, prompt engineering, and vector search solutions.
- Experience with vector databases such as Pinecone, Weaviate, FAISS, Chroma, or Azure AI Search.
- Strong knowledge of REST APIs, microservices, distributed systems, and cloud platforms (AWS/Azure/GCP).
- Experience with Docker, Kubernetes, Redis, Kafka, and AI application deployment.
- Strong understanding of AI security, memory management, scalability, and production AI systems.
Preferred Skills
- Experience with OpenAI, Azure OpenAI, Claude, Gemini, and Hugging Face models.
- Knowledge of MLOps, AI evaluation frameworks, and AI governance.
- Experience with Spark, Kafka, and large-scale AI platforms.
- Prior experience leading AI initiatives and mentoring engineering teams.
AI Lead Developer – Agentic AI & GenAI
Location: Exton, PA Onsite
Employment Type: Full-Time
Key Responsibilities
- Design and develop enterprise-grade Agentic AI and Generative AI solutions.
- Build multi-agent systems using LangGraph, AutoGen, ADK, MCP, and related frameworks.
- Develop RAG-based applications leveraging vector databases and enterprise knowledge sources.
- Build scalable APIs and AI microservices using Python, FastAPI, and cloud-native architectures.
- Deploy AI solutions on AWS, Azure, or GCP using Docker, Kubernetes, and CI/CD pipelines.
- Implement AI security, governance, observability, and guardrails.
- Collaborate with business, product, and engineering teams to deliver AI-driven solutions.
- Conduct code reviews, mentor engineers, and contribute to AI architecture and roadmap planning.
Required Skills
- 10+ years of software engineering experience with 4+ years in AI/GenAI solutions.
- Strong Python development experience with FastAPI or Flask.
- Hands-on experience with:
- LangChain
- LangGraph
- AutoGen
- ADK
- MCP (Model Context Protocol)
- Multi-Agent Architectures
- Experience building RAG pipelines, embeddings, prompt engineering, and vector search solutions.
- Experience with vector databases such as Pinecone, Weaviate, FAISS, Chroma, or Azure AI Search.
- Strong knowledge of REST APIs, microservices, distributed systems, and cloud platforms (AWS/Azure/GCP).
- Experience with Docker, Kubernetes, Redis, Kafka, and AI application deployment.
- Strong understanding of AI security, memory management, scalability, and production AI systems.
Preferred Skills
- Experience with OpenAI, Azure OpenAI, Claude, Gemini, and Hugging Face models.
- Knowledge of MLOps, AI evaluation frameworks, and AI governance.
- Experience with Spark, Kafka, and large-scale AI platforms.
- Prior experience leading AI initiatives and mentoring engineering teams.
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Who's Hiring
Top Industries Hiring
- Technology & Software21
- Banking & Financial Services6
- Consulting & Professional Services4
- Automotive3
- Healthcare & Medical Services3
Senior Level AI Developer Jobs: Frequently Asked Questions
How do I get a senior level ai developer job?
Employers hiring at this level want evidence of ownership, not just contribution. Strong candidates can point to production AI systems they designed end-to-end, decisions they made under ambiguity, and junior engineers or researchers they have mentored. Deep specialization in a domain like large language models, computer vision, or reinforcement learning gives a clear edge over generalist profiles at this stage.
Which companies hire senior level ai developers?
Companies hiring senior level ai developers right now include Google, NVIDIA, and Gartner, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide range of organizations, from large technology firms and cloud platform providers to enterprises in healthcare, finance, and defense building proprietary AI capabilities in-house.
Are there remote senior level ai developer jobs?
Yes, though availability varies by employer and role type. About 28% of senior level ai developer openings are remote or hybrid as of September 2026, reflecting strong demand for experienced talent regardless of location. Roles tied to classified projects, on-premise infrastructure, or close team collaboration are more likely to require on-site presence.
What makes an ai developer role senior level?
Senior level ai developer roles are defined by scope, accountability, and influence. These positions involve leading the design and delivery of complex AI systems rather than implementing tasks assigned by others. Expectations typically include setting technical direction, making architecture decisions with downstream consequences, reviewing and guiding peers' work, and driving projects from problem definition through deployment and monitoring.
Which industries hire the most senior level ai developers?
Senior level ai developer roles concentrate in Technology & Software, Banking & Financial Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring because they are actively building or scaling AI-powered products, automating complex workflows, or developing proprietary models where deep technical expertise and leadership experience are prerequisites rather than a plus.