Staff Data Scientist: AI & LLM Technical Lead

Seattle, Washington

Omnidian

Our mission is simple. Protect and accelerate investments in clean energy with one industry-leading service: Performance Assurance. And we’ve tailored it with options that are right for you.

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About OmnidianOmnidian, Inc. is a fast-growing Series C tech-enabled service company revolutionizing performance assurance for the distributed solar and energy storage industries.  Omnidian is building a more sustainable future for the planet through our passionate teams, our innovative technology, and by creating an amazing customer experience.
While we have employees across the country, we are looking to fill this particular role with someone based near our headquarters in Seattle who can commit to a hybrid schedule for more face-to-face interactions with team members.
The JobAs our AI & LLM Technical Lead, you will drive Omnidian’s capabilities in Artificial Intelligence (AI) and Large Language Models (LLMs). Your role will involve leading efforts to identify, prioritize, scope, develop, and deploy AI solutions that significantly enhance operational efficiency, productivity, and market differentiation. You will collaborate closely with ML Ops Engineers, Data Engineers, and cross-functional teams to integrate production-grade AI solutions into our workflows, including asset onboarding, performance monitoring, remediation coordination, and client reporting. This role requires both deep technical expertise in Data Science and LLMs and a pragmatic approach to AI innovation aligned with clear business outcomes.

What You'll Do

  • At Omnidian we believe in trust and autonomy. How you create an impact is ultimately up to you. Here is an outline of some of the things you’ll be doing:
  • Technical Leadership
  • Model Development & Deployment: Drive the technical development, evaluation, and deployment of AI/LLM applications, collaborating with engineering teams to deliver robust production pipelines primarily within a Python-based environment.
  • AI Innovation: Proactively survey and assess emerging AI/LLM technologies and tools, identifying opportunities to implement solutions that support Omnidian’s mission and objectives.
  • Cross-Functional Collaboration: Act as the AI domain expert, guiding technical discussions, mentoring Data Scientists, and coordinating closely with engineering, product management, and operational teams.
  • Project & Program Management
  • Prioritization and Planning: Independently evaluate potential AI projects, prioritize based on clear ROI and business impact, and scope and manage implementation plans effectively.
  • Supporting Program Strategy: Partner with leadership and support the development of a clear strategy for leveraging AI/LLMs across Omnidian that is aligned with our long-term growth and efficiency objectives.
  • Metrics & Evaluation: Help to define, track, and communicate clear success metrics for AI initiatives, ensuring transparency and alignment with broader business goals.

Who You Are

  • Systems Thinker: You naturally integrate AI solutions within broader business processes, technologies, and people operations.
  • Adaptive & Agile: Thriving in growth-stage companies, you navigate context switching with ease and remain resilient and productive amid evolving priorities.
  • Independent and Proactive: You confidently scope, prioritize, and execute projects, demonstrating exceptional project and program management capabilities.
  • Curious and Empathetic: You engage deeply with new domains and foster a collaborative, respectful, and growth-oriented team culture.

Experience You’ll Need

  • Minimum of 5 years of experience in productionizing machine learning models, including end-to-end deployment and maintenance in production environments.
  • Recent hands-on experience in fine-tuning and deploying Large Language Models (LLMs) within a business context.
  • Solid foundation in Data Science and deep learning techniques, with direct experience in developing and operationalizing AI/LLM solutions.
  • Strong software engineering skills, particularly in Python, and proven capability in building robust, production-level data pipelines and AI integrations.
  • Master's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or another quantitative discipline.
  • Proven ability to collaborate closely with ML Ops Engineers and Data Engineering teams, preferably with experience using cloud platforms (e.g., AWS, Databricks, Docker, Kubernetes).
  • Demonstrated effectiveness in fast-paced, growth-stage environments with dynamic priorities and evolving structures.

Work-life and Culture

  • Most of our roles offer the opportunity to work remotely
  • If you are in the Seattle area, we offer a vibrant office space in the historic and beautiful Smith Tower, in the heart of Pioneer Square
  • We prioritize applicants near one of our employee clusters and offer one or more local gatherings per year
  • We provide outstanding benefits including family medical, dental, vision, disability, 401(k) administration and $1k match per year and thoughtful paid time off
  • We offer 12 weeks of paid parental leave to all FTE employees (birthing and non-birthing) after 1 year, and four-week paid sabbatical leave after four years
  • We offer a competitive total compensation package that includes monthly health insurance premiums, bonuses and long-term stock options for every employee
  • We love to lift each other up through company-wide slack channels such as #puppiesandpets, #omnidian-wellness, #praiseandbooms and #sustainablefuture
  • We have affinity groups to help employees feel seen and supported, such as Rainbow Array, BIPOC, Thriving Survivors, Vets at Omnidian, Black Lights Matter and Neurospicy R Us
  • We are a passionate, mission driven team that believes in collaboration, mutual respect and trust. For examples, come Discover our Story!

Grow With Us

  • We mentor and invest in our employees and prioritize them for future opportunities. Check out our Instagram reels to see a few career journey examples
  • Internal candidates: Check out our advice on Internal Transfer: Job Application Process
  • We’re a fast-growing startup, which means we’re constantly reinventing processes, adding new products, and asking people to use all of their skills and talents. That means there’s gonna be a lot of opportunities for you to grow, which also means you will likely be stretched in ways you’ve never experienced in a job before. If you are resilient, determined, and not afraid of a big challenge, come apply. 
PrivacyCalifornia-based candidates: To understand more about the data we collect and process as part of your application, please view our California Job Candidate Privacy Policy. https://www.omnidian.com/privacy-policy-ca-candidates/
Diversity and InclusionWe strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our customers. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. We value diversity and inclusion and are committed to ensuring our hiring and retention practices, as well as our office culture, reflects this value. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Omnidian is an equal opportunity employer.  We are committed to diversity in the workplace.  We make employment decisions on the basis of merit and business need.  We hire without consideration to age, ancestry, citizenship, disability, gender expression, gender identity, marital status, national origin, political activity or affiliation, race, religion, sexual orientation, veteran status, or any other basis protected by law.
We invite you to be part of our mission to create a workplace that is inclusive and welcoming to all.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile AWS Computer Science CX Databricks Data pipelines Deep Learning Docker Engineering Kubernetes LLMs Machine Learning Mathematics ML models Pipelines Privacy Python R Statistics

Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Insurance Medical leave Paid sabbatical Parental leave Salary bonus Startup environment Transparency Wellness

Region: North America
Country: United States

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