Pay Range:$151,900.00 - $243,100.00
Please email if you are a candidate seeking a reasonable accommodation for the application and/or interview process.
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
