Responsibilities
- Drive the evolution of the Tachyon Predictive AI Platform on GCP Vertex AI, Azure ML, and On-Prem AIML Platform
- Architect scalable, secure, and compliant AI/ML infrastructure across hybrid environments
- Oversee end-to-end ML lifecycle: feature engineering, model development, validation, deployment, and monitoring
- Implement proactive, event-driven model monitoring and drift detection
- Lead model migration initiatives from legacy and on-prem systems to cloud-native platforms
- Ensure smooth transitions with minimal downtime and compliance adherence
- Drive initiatives for Generative AI and agentic AI integration into workflows
- Automate governance processes and optimize operational SLAs
- Partner with data scientists, MLOps engineers, and application teams to deliver AI solutions
- Act as a trusted advisor to senior leadership on AI strategy and technical decisions
- Provide technical guidance and mentorship to engineering teams.
- Represent the organization in AI forums and contribute to enterprise AI strategy.
Basic qualifications
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 5+ years of hands-on programming and/or scripting experience in one or more of the following: Python, Java, Shell scripting etc.
- 5+ years of experience with Infrastructure as code (IaC) implementation using Terraform, Crossplane or any other industry equivalent solutions
- 5+ years of experience with OpenShift Container Platform and/or Google Cloud Platform, and/or Microsoft Azure hands on experience
- 5+ years of experience with enterprise-grade automation solutions design and implementation experience using tools such as Ansible, Harness CD, GitHub Actions, Playwright etc.
- 2+ years of experience with AI, Gen AI, Agentic automation solutions design and development
- Excellent communication and stakeholder management skills.
- Demonstrated ability to lead complex projects with limited supervision and high accountability
- Experience with Generative AI, RAG pipelines, and agentic AI systems.
- Exposure to Google Cloud Platform: Vertex AI / Gemini Enterprise Agent Platform, Agentspace, MCP, A2A exposure
- Cloud certification; AWS, GCP, Azure or Generative AI Leader
- Deep understanding of LLMs, prompt engineering, vector databases, and orchestration tools
- Expertise in cloud AI platforms (GCP Vertex AI, Azure ML), On-Prem AIML systems, and MLOps frameworks
- Strong programming skills (Python, SQL/NoSQL) and experience with ML frameworks (TensorFlow, PyTorch)
- Proven track record in enterprise-scale AI deployments, model migration projects, and innovation initiatives
- 2+ years of experience building full stack Agentic AI Automations (from chat experiences to muti-agent systems) using Agentic AI Frameworks like LangGraph, Crew AI, Microsoft AutoGen, LangChain, Chainlit
- This position is not eligible for Visa sponsorship
- Ability to work on-site at approved location
- Relocation assistance is not available for this position
- 1755 Grant St., Concord, CA
- 333 Market St., San Francisco, CA
- 300 S. Brevard St., Charlotte, NC
Benefits
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
- **Job posting may come down early due to volume of applicants.
About the company
- Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
- Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
- Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
- Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
- Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Ai Engineer Machine Learning Data Engineer Generative Ai