AI Engineering Manager

Abacus Insights

70d

About The Position

As a skilled and mission-driven AI Engineering Manager, you will lead, direct, manage, and participate in the day-to-day operations of a team of software, data and AI engineers working closely with QA engineers, product owners and business. You will manage all the operational aspects of the teams to ensure business and product/project objectives are met. You provide administrative, technical, and people leadership for multiple, diverse, and geographically distributed teams. You provide feedback to the team and individuals on their performance. You will coach and guide teams to enable future success. Also be a partner with the VP and CTO on strategic initiatives and future business growth opportunities and ensuring the engineering organization can scale to meet the business needs while pushing the envelope of innovation. As a member of the engineering team, you are responsible for coaching, mentoring, managing, and leading the talent within an agile environment.

Requirements

• A minimum of 8-10 years of experience in an engineering role, with at least 3-5 years in a management position leading technical team.
• Minimum of 4 years of ML/AI engineering experience in high-velocity, high-growth companies.
• Minimum of 2 years of experience with Databricks, Mosaic AI Gateway and associated technologies in Databricks stack related to Data and AI engineering.
• Strong track record of working with language modeling technologies and GenAI.
• Proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architecture.
• Ability to drive end-to-end model and system development, from research and prototyping to deployment and monitoring.
• Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences.
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, debugging, code reviews and deployment.
• Experience and good understanding of designing scalable, distributed systems for running small to medium scale data processing applications and services.

Nice To Haves

• Experience with Snowflake, FHIR, Healthcare Data exposure.

Responsibilities

• Help shape the direction of our applied AI areas and intelligence features in our products.
• Drive the deployment of state-of-the-art AI models and systems that directly impacts on the capabilities and performance of Abacus’s products and services.
• Work closely with cross-functional teams, including AI engineers, data engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction.
• Skillful at driving critical projects (e.g. AI and data engineering Innovation, Development Productivity and Benchmarking).
• Adept at clear, confident communication with executive staff.
• Mentoring development team members to ensure delivered solutions adhere to the software architecture strategy, coding standards, and established organizational policies and procedures.
• Participating in software architectural discussions, influencing decisions, and collaborating with peers to maintain consistency across the organization.
• Identifying people and process improvement strategies for the Agile/Scrum team(s).
• Communicate organizational updates to ensure teams adhere to the established policies and procedures.
• Manage moderate-sized software development teams (i.e. 30), across many product lines.
• Help shape the roadmap and execute its delivery.
• Ensure projects are completed on time and according to our quality standards.
• Facilitates communication upward around architecture, design, and implementation objectives.
• Coach and mentor software developers, develop staff skills, provide continuous feedback (i.e. one on ones) and are responsible for annual reviews.
• Lead and manage direct reports and set clear goals and objectives.
• Responsible for protecting, securing, and proper handling of all confidential data held by Abacus.

Benefits

• Equal Opportunity Employer
• Diverse teams and providing equal employment opportunities to all applicants.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 101-250 employees