AI Engineering Manager
Encova Insurance
full-time
Posted on:
Location Type: Hybrid
Location: Columbus • Ohio, Virginia, West Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $121,868 - $194,990 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSCyber SecurityPython
About the role
- 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.
Requirements
- 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, SageMaker, 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 thinking skills, with the ability to design scalable solutions for complex business needs.
- Ability to foster a sense of purpose among the team and create a culture of transparency with clear accountabilities and metrics.
- Demonstrated ability to foster a culture of innovation and a high-agency mindset.
- Excellent communication and collaboration skills, with the ability to work across teams and with business stakeholders.
Benefits
- Health, Dental & Vision Insurance
- Company-provided life and income protection plans
- Eligibility to participate in a company incentive bonus program
- 401(k) Retirement Plan - 100% company match up to 7% on annual salary
- Paid Time Off, Paid Holidays, and Floating Holidays
- Flexible Work Arrangements - Hybrid and remote depending on the role
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI/ML engineeringMLOpsPythonLLM toolingGenAI solutionsLLM fine-tuningvector databasesRAG architectureprompt engineeringCI/CD for ML
Soft skills
leadershipproblem-solvingcritical thinkinginnovationtransparencycollaborationcommunicationownershipinclusivityaccountability