United States onlyThis position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Engineering Manager in the United States.
We are seeking an experienced and mission-driven engineering leader to guide a team of software, data, and AI engineers in developing innovative, scalable solutions that transform the healthcare technology landscape. In this role, you will drive the design and deployment of advanced AI systems, shaping the strategic direction of intelligent features and products. You’ll collaborate closely with product and business teams to deliver impactful results, while fostering technical excellence, mentorship, and innovation across your organization. This is an exciting opportunity to work on meaningful AI initiatives that make a measurable impact on healthcare efficiency, accessibility, and outcomes.
Accountabilities:
As the AI Engineering Manager, you will:
- Lead, mentor, and grow a distributed team of software, data, and AI engineers, fostering a culture of innovation and accountability.
- Oversee the design, development, and deployment of AI and data solutions that enhance product intelligence and user productivity.
- Partner with leadership to shape the roadmap, drive key initiatives, and ensure the engineering organization can scale effectively.
- Guide technical teams through architectural discussions and ensure adherence to best practices in coding, testing, and DevOps.
- Manage operational efficiency, incident response, and customer escalations while maintaining focus on roadmap commitments.
- Encourage open collaboration across teams, ensuring alignment between engineering, product, and business objectives.
- Promote continuous improvement through coaching, feedback, and process optimization.
- Champion innovation and experimentation with cutting-edge technologies in AI, cloud infrastructure, and data platforms.
Requirements
To excel in this role, you should bring:
- 8–10 years of experience in software or data engineering, including 3–5 years in a leadership or management role.
- At least 4 years of experience in applied ML/AI engineering or academic research in related areas.
- Strong expertise with Databricks, Mosaic AI Gateway, and associated tools within modern data/AI stacks.
- Proven experience with language models, generative AI, RAG, SQL Agents, and agentic workflows.
- Proficiency in Python, TensorFlow or PyTorch, and deep knowledge of scalable ML architecture.
- Strong software engineering skills, including testing, debugging, code review, and CI/CD practices.
- Experience building and managing distributed, data-intensive systems processing large-scale datasets.
- Familiarity with cloud infrastructure, security frameworks, and AI architecture best practices.
- Excellent communication, strategic thinking, and problem-solving skills.
- A proactive, hands-on leadership style with a passion for developing people and advancing AI innovation.
- Bonus: Experience with Snowflake, FHIR, or exposure to healthcare data environments.
Benefits
- Fully remote position within the United States.
- Competitive annual salary based on experience.
- Comprehensive healthcare coverage, including medical, dental, and vision insurance.
- 401(k) plan with company match.
- Generous paid time off and holidays.
- Paid parental leave and flexible work arrangements.
- Opportunities for professional growth in a collaborative and innovation-driven environment.
- Inclusive and diverse workplace culture built on respect, transparency, and shared purpose.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
Colombia only
