AI Engineering Manager

The salary range for this job posting is $ - $ annually + bonus + benefits.

Pay Type:

Salary

The above represents the full salary range for this job requisition. Ultimately, in determining your pay and job title, we'll consider your location, education, experience, and other job-related factors, and will fall within the stated range. Your recruiter can share more information about the specific salary range during the hiring process.

Encova Insurance is seeking an AI Engineering Manager for a new role where you will be pivotal in shaping the organization's AI strategy and delivering measurable business value. This hybrid role is based in Columbus, Ohio but we are open to well qualified candidates who could work a hybrid schedule from our Charleston, WV office as well.

Are you a Referral?

If you know a current Encova Insurance associate and would like to apply as a referral, please encourage them to submit your referral information before you submit your application. You will receive an email with a direct URL link to the Job Posting of interest. Applying through this URL link will create your referral relationship for our Talent Acquisition Team.

Unique residence requirements are listed in each job posting, please review closely for details.

Encova is only able to employ associates who reside and work within specific U.S. states. Our current policies are based on the laws in states in which we are registered for payroll. Our current footprint includes:
Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, New Hampshire, New Jersey, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, West Virginia, Wisconsin.

The AI Engineering Manager will build and lead a high-performing team responsible for designing, developing, and deploying AI solutions that drive meaningful business impact. This role combines deep technical expertise in machine learning and AI with strong people leadership, strategic thinking, and cross-functional partnership. You will guide the team in delivering scalable, reliable, secure, and responsible AI systems while shaping the organization's long-term AI strategy.

The AI Engineering Manager will work closely with key stakeholders to identify high-value AI opportunities and to plan, design, and oversee the delivery of secure AI capabilities that provide measurable business value.

• Lead, mentor, and grow a team of AI/ML engineers, and MLOps specialists.
• Create a culture of innovation, ownership, inclusivity, and excellence.
• Provide technical leadership through code reviews, architectural guidance, hands-on problem solving, and the execution of proofs of concept (POCs).

• Define the technical roadmap for AI initiatives aligned with business priorities.
• Design and optimize end-to-end operational workflows by embedding automation, AI-driven workflow orchestration, intelligent decisioning, and continuous feedback loops to accelerate processes and reduce overall cycle times.
• Oversee the development, deployment, and maintenance of machine learning models, LLM-based solutions, prompt engineering, and AI-driven applications.
• Ensure AI architectures are scalable, secure, and compliant with organizational and regulatory standards.
• Drive adoption of best practices in AI/ML engineering, including versioning, testing, monitoring, CI/CD for ML, prompt design, and evaluation methodologies for LLMs.

• Partner with product, engineering, data, and business stakeholders to identify and evaluate AI opportunities.
• Collaborate with enterprise architecture, cybersecurity, compliance, governance, privacy, business, and IT teams to advocate for and align on AI strategies, standards, and best practices.
• Communicate progress, risks, and results clearly to senior leadership.

• Collaborate with cross-functional leaders to establish an AI governance framework, including standards and best practices for security, privacy, and observability.
• Ensure model performance, reliability, and compliance with Encova's policies and regulatory requirements.
• Monitor and assess emerging data and AI threats, and design resilient architectures and controls to mitigate risks.
• Champion the adoption of Data & AI best practices across teams.

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field, required.
• 5+ years of experience in AI/ML engineering, with at least 2+ years in a technical leadership or people management role.
• Proficiency in Python, ML frameworks, and modern LLM tooling.
• Experience in designing GenAI solutions, with experience in MLOPS, LLM, AWS Bedrock, Sage Maker, Snowflake Cortex is a plus.
• Experience with LLM fine-tuning, vector databases, RAG architecture, and prompt engineering. Prior insurance industry experience is a plus.
• Strong problem-solving and critical…