Senior Engineering Manager, MCP and Agentic AI

Senior Engineering Manager, MCP and Agentic AI

We are seeking a dynamic Senior Manager to lead our Model Context Protocol (MCP) and Agentic AI engineering teams. The ideal candidate will have a strong technical background, proven leadership skills, and a passion for innovative software solutions. You will provide strategic direction, oversee project execution, and develop high‑performing teams focused on advancing AI‑driven technologies. You will ensure the successful integration of Large Language Models (LLMs) and other AI technologies into our products, driving innovation and operational excellence.

• Lead, mentor, and grow a team of software engineers and AI specialists, fostering a culture of collaboration, innovation, and continuous learning
• Hire, develop, and manage a high‑performing team, support career development paths and opportunities
• Define and execute the technical vision for MCP and Agentic AI initiatives, aligning team objectives with organizational priorities and customer needs
• Contribute to the technical roadmap and technical debt elimination, balancing time, resources, and quality constraints to achieve business and strategic goals
• Oversee project planning, resource allocation, and delivery timelines for software development releases
• Guide the integration of machine learning models, including LLMs, into production applications
• Ensure best practices in AI observability, code quality, and system scalability
• Evaluate and implement frameworks such as Lang Chain, FAISS, and others to enhance content retrieval and multi‑agent orchestration
• Oversee documentation standards for APIs and MCP workflows
• Partner with product management, UX, and other engineering teams to deliver high‑quality solutions
• Collaborate with product managers, software architects, user experience designers, and stakeholders to form technical solutions and align quality goals with business objectives
• Communicate project status, risks, and opportunities to stakeholders and executive leadership
• Present project updates, technical strategies, and key outcomes to senior leadership, ensuring alignment with organizational goals and securing support for major initiatives
• Champion the adoption of new technologies and methodologies to enhance team performance and product quality
• Identify areas for improvement in existing systems and processes; lead regular reviews and audits
• Ensure the reliability, security, and scalability of deployed AI services within AWS environments (Lambda, ECS, Aurora, S3, Bedrock)
• Apply continuous attention to technical excellence, secure coding principles, and good design, resulting in straightforward solutions and reduced complexity

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Proven experience in software development and engineering, with a strong technical background
• At least 10 years of experience in software engineering, with 5+ years in a management or leadership role
• In‑depth knowledge of the software development lifecycle (SDLC) and agile methodologies
• Proficiency in programming languages (e.g., Python, Java, C++)
• Experience with AWS services (API Gateway, Lambda, SQS/SNS, S3, Cloud Watch, ECS, Load Balancer, Aurora, Dynamo
  
  DB, Snowflake, Neptune)
• Experience with CI/CD tools and processes (e.g., Jenkins, Git Lab CI, Docker, Terraform)
• Understanding of security compliance standards and regulations (e.g., SOC, FedRAMP, GDPR)
• Backend development experience with database interactions and knowledge of Graph, SQL, and No
  
  SQL databases
• Strong knowledge in authentication/authorization frameworks (e.g., SSO, SAML, OAuth), secure transport (e.g., SSL, TLS), and identity management
• Prior experience integrating complex systems
• Excellent communication, problem‑solving, and organizational skills
• Ability to work independently and as of a team in a fast‑paced, agile environment

• Experience with natural language processing (NLP) and conversational AI
• Prior experience with large‑scale, distributed systems
• Familiarity with security testing practices and tools
• Certification in Secure Software Development Lifecycle (e.g., CSSLP, CISSP)