Lead the architecture, design, and implementation of scalable Enterprise AI applications.
Drive the technical strategy for Gen AI solutions, ensuring robust integration, security, and performance across the organization.
Architect, design, and build end-to-end GenAI applications.
Define solution architectures for leveraging cloud platforms (AWS, Azure, GCP) for scalability, reliability, and security.
Present and propose technical solutions that fit requirements.
Plan and coordinate project deliveries to ensure timelines and business needs are met.
Develop core features and infrastructure; write production-grade code in Python, React, and other languages as needed.
Lead implementation of best software engineering practices (modularity, version control, CI/CD, automated testing).
Perform code and architecture reviews to ensure robust, maintainable, and high-performing solutions.
Drive adoption of engineering best practices across the organization.
Set standards for thorough, clear documentation of architectures, processes, and code.
Directly manage an engineering team (senior & junior engineers), overseeing hiring, onboarding, and day-to-day activities.
Provide technical mentorship; foster a culture of innovation, learning, and inclusiveness.
Set clear objectives, track progress, and conduct regular performance reviews.
Research, design, and implement Agentic AI solutions using frameworks such as LangChain and LangGraph.
Build autonomous genAI agents capable of reasoning, multi-step workflows, and tool-usage.
Optimize agent performance, reliability, and compliance for enterprise production.
Evaluate emerging AI techniques, tools, and frameworks; make strategic recommendations.
Champion AI/engineering best practices, foster continuous learning through tech talks and workshops.
Develop intuitive user interfaces in React; integrate front-end with back-end APIs and AI models.
Collaborate with UX/UI teams to drive adoption and usability of AI applications.
Maintain and evolve RESTful APIs and microservices architecture.
Deploy, monitor, and maintain AI applications using cloud-native infrastructure—containers, CI/CD, and observability tools.
Oversee cloud resources ensuring cost optimization and performance.

Requirements

Bachelor’s or Master’s in Computer Science, Engineering, or related field.
7+ years in software/AI engineering; 3+ years leading technical teams.
Proven experience developing and deploying enterprise applications in cloud environments (AWS, Azure, GCP).
Advanced skills in Python, React, and familiarity with modern GenAI frameworks (LangChain, LangGraph, etc.).
Strong understanding of AI application lifecycle, security, compliance, and performance optimization.
Excellent communication, leadership, and project management skills.

Benefits

Health Coverage: Medical, pharmacy, dental, and vision care.
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonReactGenAILangChainLangGraphcloud platformsRESTful APIsmicroservicesCI/CDautomated testing

Soft Skills

leadershipcommunicationproject managementtechnical mentorshipinnovationinclusivenesscollaborationperformance reviewsdocumentationproblem-solving

Certifications

Bachelor’s in Computer ScienceMaster’s in Computer ScienceEngineering degree