CHIEF AI ENGINEER, SENIOR MANAGER

$139,400 - $259,000/Yr

Booz Allen Hamilton

Part-time,Full-time - Senior

Professional, Scientific, and Technical Services

About the position

The Chief AI Engineer, Senior Manager role involves overseeing a dynamic engineering team responsible for designing, developing, and delivering a software engineering framework and toolkit for enterprise AI solutions. This position requires providing senior engineering expertise, mentoring mid-to-large sized teams, and ensuring high standards for quality and reusability in software engineering designs. The role also includes strategic advisory responsibilities, aligning solutions with business needs, and managing large-scale data and AI capabilities.

Responsibilities

• Oversee a dynamic engineering team in the design, development, and delivery of software engineering frameworks and toolkits for enterprise AI solutions.
• Provide senior engineering expertise and mentoring to mid-to-large sized engineering teams.
• Work with cross-functional teams to ensure timely and quality delivery of capabilities and services.
• Act as a strategic advisor, aligning solutions with business needs and creating innovative approaches to address client requirements.
• Build collaborative internal and external relationships with clients and partners.
• Provide technical and project management support towards the delivery of large-scale data, analytical, and AI capabilities.
• Interact with senior leadership to establish and manage scope, schedule, milestones, risk, and quality delivery of capabilities and services.

Requirements

• 12+ years of experience leading large multi-team software development projects, including architecture solutioning and overseeing all aspects of delivery.
• 10+ years of experience with software development in one or more object-oriented programming languages, and with data structures and algorithms.
• Experience leading an engineering team in the development and maintenance of a production system.
• Experience in service-oriented architecture principles for designing open, modular software systems.
• Experience with modern technologies, including Agile, DevOps, Cloud, and open platforms.
• Experience designing and developing large software systems or reusable frameworks.
• Ability to lead discussions with various stakeholders to conduct strategic planning and define business objectives.

Nice-to-haves

• Experience in designing and developing scalable data workflows using tools like Apache Spark.
• Experience with different data storage technologies and databases, including data lakes and graph data storage.
• Experience developing machine learning and artificial intelligence solutions.
• Possession of excellent verbal and written communication skills.

Benefits

• Health insurance coverage
• Life insurance coverage
• Disability insurance coverage
• Financial and retirement benefits
• Paid leave
• Professional development opportunities
• Tuition assistance
• Work-life programs
• Dependent care support
• Recognition awards program for exceptional performance