
Senior Gen AI & ML Engineer
Poway, CAJobSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
Under consultative direction, the Senior Gen AI & ML Engineer will shape AI strategy, drive generative AI development, mature machine learning platforms, and ensure excellence across AI/ML initiatives. The role designs, builds, and deploys AI solutions on cloud and on‑prem platforms such as Azure and AWS, while maintaining compliance with security standards and supporting cross‑functional teams.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
Job Summary
Under consultative direction, this position plays a crucial role in shaping our AI strategy, driving generative AI development, maturing our machine learning platforms and processes, and ensuring excellence across our AI/ML initiatives. They will support our long-range strategy, goals, and objectives by designing and developing AI solutions using cloud and on-prem software platforms including Azure, AWS, and others as needed.
DUTIES AND RESPONSIBILITIES:
Generative AI Development: Lead the design, development, and deployment of integrated custom solutions that leverage generative AI models using various design patterns including Prompting & Context Management, Responsible AI, RAG, Agentic & Multi-Agent workflows, and AI for data analytics. Collaborate with data scientists, engineers, and subject matter experts to create AI solutions that provide significant value to the company while keeping ethical considerations and bias mitigation as a priority. Design AI solutions with data-classification and sensitivity controls to prevent CUI/export-controlled data exposure to unauthorized environments. Standards and Best Practices Establish coding standards, documentation practices, and quality assurance processes for AI/ML projects. Ensure compliance with industry best practices and security protocols such as but not limited to: NIST 800-171, CMMC Level 2, NIST AI RMF and the DoD Responsible AI principles. Foster close working partnerships with cyber, risk management and other compliance stakeholders. LLM Ops Integration Design and develop new processes to support the integration of AI/ML pipelines into our GovCloud / Azure Government / GCC High, IL4, CI/CD workflows. Automate model deployment, testing, monitoring, and scaling. Integrate into approved change control process Responsible for model administration, observability, and governance AI Center of Excellence Support the design, build, and growth of our AI Agentic Platform Architecture. Drive innovation by staying abreast of AI trends and fostering a culture of continuous learning. Collaborate with cross-functional teams to identify new AI opportunities and pilot projects that align with business goals. Provide mentorship and technical guidance to other developers in ITS and the business, establishing a Community of Practice for AI. Provide second/third tier user support for AI solutions as needed. May act in a technical leadership role to lead cross-functional teams in the development and delivery of AI solutions. Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices. Performs other duties as assigned.
Skills and Requirements
Typically requires a bachelors masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning experience as follows; nine or more years of experience with a bachelors degree, seven or more years of experience with a masters degree, or four or more years with a PhD. May substitute equivalent machine learning engineer experience in lieu of education. Must demonstrate the application of advanced technical principles, theories, concepts, and techniques in the design of machine learning and artificial intelligence solutions. Must be proficient with DevOps platforms and processes either cloud based or on-prem. Must be experienced with configurating and deploying solutions in AWS and/or Azure cloud platforms. Must have excellent organization skills including planning and coordinating work assignments to meet project milestones or completion dates. Should be familiar with ITAR/EAR standards or handing export-controlled technical data. Should be familiar with CUI, ITAR, and proprietary data regulations. Must be customer focused and possess: the ability to identify and analyze issues and develop solutions to complex problems; strong analytical, verbal and written communication skills to accurately document, report, and present findings; strong interpersonal skill to interface with all levels of employees, management and external contacts; and strong computer skills. Ability to work independently or in a team environment is essential.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
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