Role Summary
The Agent Developer, Senior Manager will participate in the design, development, and deployment of AI agents that automate workflows, enhance decision-making, and enable intelligent user interactions across the enterprise. This role will partner cross-functionally and focus on integrating multi-agent frameworks and ensuring scalable, ethical, and high-performance agent-based systems.
Responsibilities
- Technical Leadership:
- Leads the technical direction for assigned AI initiatives.
- Collaborate with product, data, and engineering teams to align AI priorities with business outcomes.
- Contribute to cross-pod governance and represent the AI Accelerator in enterprise discussions.
- Design & Development:
- Support the development and implementation of scalable, efficient, and secure AI or data systems.
- Participate in the development of automation workflows and APIs that integrate with business tools.
- Utilize cloud infrastructure (Azure/AWS/GCP) and MLOps frameworks for continuous delivery.
- Ensure code quality, testing, and maintainability through best development practices.
- Operational Excellence:
- Supports development of KPIs and success metrics for key deliverables.
- Oversee and manage documentation, sprint planning, and backlog prioritization in agile environments.
- Ensure system monitoring, observability, and proactive issue resolution.
- Continuously optimize performance and cost efficiency of AI systems.
- Collaboration & Innovation:
- Partner with Business Translators, UI/UX, and Change Management teams to translate needs into deployable AI solutions.
- Participate in the evaluation of new technologies and frameworks that enhance automation or predictive insights.
- Drive innovation through participation in hackathons, proof-of-concepts, and partnerships with vendors.
- Promote a culture of responsible AI, ethics, and compliance.
Qualifications
- Required: Bachelor’s degree in Computer Science, Engineering, or related field.
- Required: 6+ years of relevant experience in AI, software, or data development.
- Required: Experience with agentic orchestration frameworks (e.g. Langchain), vector databases (e.g. Pinecone), embedding models, RAG architecture, and LLM principles.
- Required: Proven leadership in managing technical teams and delivering enterprise-scale projects.
- Required: Strong knowledge of agile methodologies and DevOps practices.
- Preferred: Master’s degree or PhD in Computer Science, Data Science, or related field.
- Preferred: Experience in pharmaceutical or healthcare technology environments.
- Preferred: Familiarity with compliance standards such as GxP, HIPAA, and data privacy regulations.
- Preferred: Demonstrated success in deploying AI or ML solutions in production environments.
Education
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Master’s degree or PhD in Computer Science, Data Science, or related field (Preferred).
Skills
- AI systems design and deployment
- Multi-agent frameworks and orchestration
- Cloud infrastructure (Azure/AWS/GCP) and MLOps
- API development and integration with business tools
- Code quality, testing, and maintainability practices
- KPIs, metrics, and agile project management
- Ethics and compliance in AI solutions
Additional Requirements
- Work location: Flexible; 2-3 days onsite/week