Mid Level AI Engineer Jobs
Mid level ai engineer jobs go to engineers ready to own model development pipelines, lead cross-functional delivery, and make architectural decisions without constant oversight. Roles run across on-site, remote, and hybrid settings in Technology & Software, Consulting & Professional Services, and Artificial Intelligence, with employers like Google, Amazon, and CVS Health hiring at this level now.
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Pay Range:
$151,900.00 - $243,100.00Please email HR_Talent_AcquisitionTeam@bcbsri.org if you are a candidate seeking a reasonable accommodation for the application and/or interview process.
At BCBSRI, our greatest resource is our people.
We come from varying backgrounds, different cultures, and unique experiences. We are hard-working, caring, and creative individuals who collaborate, support one another, and grow together. Passion, empathy, and understanding are at the forefront of everything we do—not just for our members, but for our employees as well.
We recognize that to do your best work, you have to be your best self.
It’s why we offer flexible work arrangements that include remote and hybrid opportunities and paid time off. We provide tuition reimbursement and assist with student-loan repayment. We offer health, dental, and vision insurance as well as programs that support your mental health and well-being. We pay competitively, offer bonuses and investment plans, and are committed to growing and developing our employees.
Our culture is one of belonging.
We strive to be transparent and accountable. We believe in equipping our associates with the knowledge and resources they need to be successful. No matter where you’re at in the organization, you’re an integral part of our team and your input, thoughts, and ideas are valued.
Join others who value a workplace for all.
We appreciate and celebrate everything that makes us unique, from personal characteristics to past experiences. Our different perspectives strengthen us as an organization and help us better serve all Rhode Islanders.
We’re dedicated to serving Rhode Islanders.
Our focus extends beyond providing access to high-quality, affordable, and equitable care. To further improve the health and well-being of our fellow Rhode Islanders, we regularly roll up our sleeves and get to work (literally) in communities all across the state—building homes, working in food pantries, revitalizing community centers, and transforming outdoor spaces for children and adults. Because we believe it is our collective responsibility to uplift our fellow Rhode Islanders when and where we can, our associates receive additional paid time to volunteer.
Why this job matters:
Work independently and collaboratively to design, implement, and optimize the integration of AI solutions within enterprise systems. Serve as a strategic expert who bridges advanced AI technologies and existing business applications, ensuring secure, scalable, and ethical deployment of AI-driven workflows. Lead initiatives with IT, data science, cloud engineering, cybersecurity and business units to deliver intelligent automation, enhance operational efficiency, and accelerate innovation. Focus on integrating diverse data sources, refining AI interactions through prompt engineering, and collaborating with cross-functional teams to drive artificial intelligence adoption and innovation.
What you will do:
- Design and lead secure, scalable API and system integrations between AI systems (LLMs, ML models, intelligent agents) and enterprise platforms such as ERP, CRM, and cloud services. Develop integration strategies that align with organizational goals and technical feasibility.
- Define and evolve AI strategies to support business objectives. Advise on AI adoption opportunities, identify areas for efficiency and innovation, and stay current with advancements in AI, ML, and LLM technologies.
- Build, tune, and deploy custom AI models and algorithms for specific use cases. Implement and maintain MLOps pipelines for model deployment, monitoring, and lifecycle management using modern tools.
- Assist in data architecture, preparation, and sanitization for effective AI model utilization. Evaluate existing systems and recommend AI-driven improvements to enhance functionality and efficiency.
- Ensure ethical AI use by implementing governance frameworks and adhering to organizational, regulatory, and privacy standards. Maintain data security and compliance throughout AI solution development and deployment.
- Monitor, analyze, and optimize AI system performance, resource utilization, and reliability. Design automated testing frameworks to validate accuracy, reliability, and compliance.
- Lead discussions with data scientists, DevOps, and product teams to translate business requirements into AI-enabled solutions. Provide technical leadership to ensure scalability, security, and alignment with business needs.
- Document integration processes and maintain technical records. Communicate complex AI concepts to technical and non-technical stakeholders and proactively recommend improvements to systems and workflows based on emerging best practices.
- Mentor engineers and guide cross‑functional teams toward high‑impact AI outcomes. Perform other duties as assigned
What you need to succeed:
- Bachelor’s in computer science, Artificial Intelligence, Engineering, or related field, or an equivalent combination of education and related work experience.
- Five to seven years of experience in AI and Machine Learning technologies.
- Proficiency in Python, Java, or similar programming languages
- Deep experience with API development, cloud platforms, vector databases, and modern AI frameworks (e.g. Azure Open AI).
- Strong experience in prompt engineering, LLM tuning and NLP tasks.
- Experience with observability for prompts/models (hallucination detection, guardrails, cost/latency tracking).
- Strong understanding of distributed systems, microservices, and CI/CD practices.
- Ability to lead multiple complex initiatives in a fast-paced environment.
- Excellent problem-solving, communication, and collaboration skills.
- Strategic and critical thinking with a focus on customer experience and business value.
- Ability to work effectively with a wide variety of people in individual and group settings.
- Strong organizing skills, with the ability to prioritize and respond to shifting deadlines.
The extras:
- Master’s degree in computer science, Artificial Intelligence, Engineering, or related field
- Certifications in AI/ML or cloud platforms (Azure, Google) are highly valued Experience with AI governance, ethical AI frameworks, and compliance requirements.
Location:
BCBSRI is headquartered in downtown Providence, conveniently located near the train station and bus terminal. We actively support associate well-being and work/life balance and offer the following schedules, based on role:
- In-office : onsite 5 days per week
- Hybrid: onsite 2-4 days per week
- Remote: onsite 0-1 days per week. Permitted to reside in the following states, pending approval from the Human Resources Department: Arizona, Connecticut, Florida, Georgia, Louisiana, Massachusetts, North Carolina, Oklahoma, Rhode Island, South Carolina, Texas, Virginia
Our culture of belonging at Blue Cross & Blue Shield of Rhode Island (BCBSRI) is at the core of all we do, and it strengthens our ability to meet the challenges of today’s healthcare industry. BCBSRI is an equal opportunity employer.
The law requires an employer to post notices describing the Federal laws. Please visit www.eeoc.gov/know-your-rights-workplace-discrimination-illegal to view the "Know Your Rights" poster.
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Find Mid Level AI Engineer JobsMid Level AI Engineer Job Market
Who's Hiring
- Google71
- Amazon47
- CVS Health42
- Apple31
- NVIDIA28
Top Industries Hiring
- Technology & Software586
- Consulting & Professional Services170
- Artificial Intelligence118
- Banking & Financial Services111
- Electronics & Hardware109
Mid Level AI Engineer Jobs: Frequently Asked Questions
How do I get a mid level ai engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you drove decisions end to end, improved model performance measurably, or shipped features with real user impact. In your application, show depth in a specific domain like NLP, computer vision, or MLOps rather than breadth alone. Recruiters at this level want evidence you can work with limited oversight, so concrete outcomes matter more than credentials.
Which companies hire mid level ai engineers?
Companies hiring mid level ai engineers right now include Google, Amazon, and CVS Health, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a wide mix of tech-forward enterprises, high-growth startups, and established firms building out dedicated AI teams.
Are there remote mid level ai engineer jobs?
Yes, remote and hybrid options are common at this level. About 37% of mid level ai engineer openings are remote or hybrid as of July 2026, reflecting strong demand from distributed engineering teams who can onboard experienced engineers with less ramp-up time than entry-level hires.
How do I move up to a mid level ai engineer role?
Growing into a mid level ai engineer role means going deeper, not just logging time. Engineers who make the jump take on full ownership of a feature or model, start mentoring colleagues informally, and build a record of measurable impact. Specializing in an area like large language models, recommendation systems, or ML infrastructure accelerates that transition by making your contributions harder to replicate.
Which industries hire the most mid level ai engineers?
Mid Level ai engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Artificial Intelligence, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they are actively scaling AI capabilities beyond proof-of-concept and need engineers who can own production systems independently.