Job Description
This role is a senior technical leadership position responsible for integrating and delivering production-grade AI, machine learning, and data capabilities. The position combines hands-on software engineering with system-level design, leading end-to-end development of scalable, cloud-based solutions that leverage LLMs, MLOps, and automation. Working closely with cross-functional stakeholders, the role balances near-term delivery with long-term strategy while mentoring engineers and promoting strong engineering best practices.
- What You Will Do:
- Collaborate with technical leadership, product managers, program/project managers, and business stakeholders to support the team as we bring advanced data capabilities.
- Be the system integrator for APIs, SDKs, and other automation activities: lead multi-disciplinary efforts to bring advanced AI/ML capabilities through production software and cloud engineering, including generative AI, AIOps, GenOps, MLOps, and ML-augmented engineering. This includes ensuring that capabilities are designed, implemented, maintained, observed, and supported from end-to-end.
- Maintain both high level and low-level views of technical systems and coordinate with teams and subject matter experts from other disciplines to realize successful realization.
- Design, write, test, and deploy production quality software capabilities that are maintainable, automated (CI/CD), scalable, observable, organized, and readable. Ensure best practices are maintained, including quality and CI/CD automation.
- Advise technical support and building of user documentation
- Mentor early and mid-career team members, supporting their ascension to senior and lead roles.
Qualifications You Must Have:
- Typically requires a University Degree or equivalent experience and minimum 12 years prior relevant experience, or an Advanced Degree in a related field and minimum 10 years’ experience
- 5+ years of experience with data science and machine learning.
- 5+ years of experience with the Software Development Life Cycle and software application / product development, including Python and the Python scientific stack.
Qualifications We Prefer:
- A flexible and patient mindset, interested in working on a variety of multi-disciplinary challenges with varying stakeholders, partners, domains, and toolsets.
- Relevant experience with cloud computing platforms (AWS and/or Azure.)
- Organizational skills for knowledge, documentation, and data management
- Other helpful experience: SQL, Node, REST APIs, testing libraries.
- Experience building products that use Large Language Models (LLMs) and LLM APIs.
- Technical leadership experience, such as being the engineering lead for a program, product, or large project.
- Experience as part of a multi-disciplinary team
- Experience with cloud computing.
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