Generative AI Leader/Architect
Tiger Analytics
AWSGoogle Cloud Platform
AI Engineer
3E
full-time
Posted on:
Location Type: Remote
Location: Remote • Alabama, Arizona, Colorado, Connecticut, Florida, Illinois, Kansas, Kentucky, Massachusetts, Minnesota, Missouri, Nevada, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Washington • 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
AWSAzureCloudGoogle Cloud Platform
About the role
- Lead Development of Secure, Autonomous AI Systems: Architect intelligent, agent-based tools leveraging solutions like Claude Code, MCPs, A2A, Gemini CLI, the OpenAI Agents SDK, and using Knowledge Graph concepts to solve complex, high-value problems.
- Develop A2A Systems: Build frameworks to enable LLMs to work together internally and externally, increasing the reach of 3E-enabled generative AI systems.
- Bridge Product & Engineering: Partner with Product, Engineering, and Customer teams to embed AI into tools that enhance usability, decision-making, and automation.
- Build Seamless API Integrations: Create scalable, secure APIs that connect AI models with web applications, internal systems, and external platforms. Integrate these with MCP for agentic use.
- Contribute to Responsible AI Practices: Help define responsible development standards, alignment strategies, and safety protocols and stay current with AI advancements.
- Work closely with CTO and cross-functional teams to turn AI models and proprietary data into customer-facing solutions that drive business value and competitive advantage.
Requirements
- 7 - 10 + years of experience as a software engineer or data science engineer
- Deep experience developing and deploying production-grade AI systems
- Hands-on experience with LLMs, generative AI, and agentic frameworks such as MCP, A2A, the OpenAI Agents SDK
- Proven ability in AI infrastructure setting up production-grade model inference serving, MLOps pipelines, and shared services
- Solid understanding of AI safety, alignment, and ethical development practices
- Preferred: Experience with agent orchestration frameworks such as Claude Subagents, AutoGen, or CrewAI
- Preferred: Expertise in prompt engineering, context engineering, RAG pipelines, and optimization
- Preferred: Expertise in using and deploying open-source LLMs into production such as variants of Qwen, DeepSeek, Llama, Mistral, Gemma
- Preferred: Familiarity with cloud-based AI tools (e.g., AWS Bedrock, GCP Vertex AI, Azure ML)
- Preferred: Experience integrating AI capabilities into legacy web applications, desktop applications, and APIs
Benefits
- Health, dental, and vision insurance
- Life insurance and disability coverage
- Generous PTO accrual and paid parental leave
- 401(k) plan with company matching
- Employee assistance program
- Voluntary supplemental benefits (Accident, Hospital Indemnity, Critical Illness)
- In addition to base salary, certain roles may qualify for a performance-based incentive and/or equity, with eligibility depending on the position
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI systems developmentLLMsgenerative AIMCPA2AOpenAI Agents SDKMLOpsprompt engineeringcontext engineeringRAG pipelines
Soft skills
collaborationcommunicationproblem-solvingleadership
Similar jobs on JobTailor
Security Engineer – Architecture
Lambda
AWSAzureCloudGoGoogle Cloud PlatformLinuxPython
Solutions Engineering Manager
Glean
AWSAzureCloudGoogle Cloud Platform
Full Stack AI/ML Developer
Fulcrum
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow
Distinguished AI Research Fellow
GeneDx
AWSAzureCloudGoogle Cloud Platform