Engineering Manager, Quality
Onebrief
AI Engineering Manager
Abacus Insights
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
CloudDistributed SystemsOpen SourcePythonPyTorchSQLTensorflow
About the role
- 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 (e.g., Abacus Agents, MCP, SQL and RAG agents and tools, etc.)
- 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
- Meaningful experience in the world of Data and AI
- Capable of credible customer interactions
- 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
- Manages 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
- Proven experience in leading software development teams or projects
- Excellent knowledge of software development design, QA and test automation, and experience with agile development methodologies
- Excellent organizational, leadership, decision making and communication skills
- Demonstrated knowledge of Cloud Architecture, AI Architecture, Agents/Agentic systems, Massive Parallel Processing (MPP) compute frameworks for Data+AI platforms, Security, and MCP/API based services
- Good understanding of Incident Management, Configuration Management, Operational efficiency and Customer Escalation Management preferred. Can manage the balance of delivering on our roadmap commitments while dealing with interruptions and client escalations
- Good experience with open source
- 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
- Has relentlessly high standards (is never satisfied with the status quo)
- Expects and requires innovation of her/his team. Outside the box thinking
- Has passion and conviction and the innate ability to inspire passion in others
- Responsible for protecting, securing, and proper handling of all confidential data held by Abacus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Abacus or our clients.
- Ability to manage personnel activities of staff and develop the appropriate resource planning to meet the needs of the team, including supporting recruiting
- Evolve the team’s organization structure for scale (towards 50+ engineers)
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. Alternatively, a strong background in relevant ML/AI research in academia will be considered as contributing qualification
- 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. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, evaluation benchmarks, Agents and Agentic workflows (e.g. orchestration, workflow management, observability, debugging), RAG, SQL Agents, MCP, etc.
- 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 (10s – 100s of TBs of data)
- Possesses a level of breadth and depth of software and AI development experience that allows for influence and competence in technical discussions with internal and external stakeholders
- Solid understanding of roles adjacent to the software development (product management, project management, client delivery, operations etc.). Ability to adapt to these roles as defined at Abacus and work with others in these roles
- Proven record of success of driving and/or leading engineering teams/projects towards developing production grade systems supporting customers
- Nice to have experience with, but not required: Snowflake, FHIR, Healthcare Data exposure.
Benefits
- Health insurance
- Competitive salary
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ML engineeringAI engineeringPythonTensorFlowPyTorchDatabricksMosaic AI Gatewaylanguage modeling technologiesgenerative techniquesscalable ML architecture
Soft skills
leadershipcommunicationanalytical skillsproblem-solvingmentoringorganizational skillsdecision makinginnovationcoachinginspiring
