Director - AI engineering

Role & responsibilities

1.Develop and execute a strategic roadmap for executing Applied AI engineering

projects with a product engineering mindset .

2. Lead and inspire a high-performance core group of developers, architects &

engineering managers.

3. Responsible for hiring, training, coaching, team building, assessing

performance, providing feedback, mentoring, and helping the team succeed.

Our enthusiastic Data Scientists are just getting started -- and as a manager, you

guide the way and set up examples by coming up with the best solutions to

complex engineering problems.

4. Collaborate with architects, product management, and other engineering teams

to create solutions that increase the platform's value.

5. Own Delivery - This includes overseeing the end-to-end delivery of Applied AI

projects, ensuring adherence to timelines, budget, and impeccable engineering

quality, setting up and managing periodic progress meeting,s and act as a point

of escalation for project issues, providing timely resolution and effective

communication with stakeholders.

6. Participate with senior management in developing a long-term technology road

map. Influence, collaborate and communicate effectively with various leaders.

Education and Qualification

1.Proven experience of 10+ years in a leadership role overseeing Applied AI

engineering teams, preferably within a professional services environment.

2. Successful track-record of Solution Architecting and High-end AI based

software development.

3. Strong technical background with expertise in Generative AI, Google AI APIs,

Machine Learning, software development methodologies, languages, and

frameworks.

4. Excellent communication skills with the ability to articulate technical concepts to

both technical and non-technical audiences.

5. Demonstrated success in delivering complex software projects on time and

within budget.

6. Ability to thrive in a fast-paced, dynamic environment and adapt to evolving

business needs.

7. Leadership qualities including strategic thinking, decision-making,

problem-solving, and team-building.

8. Experience in client-facing roles with a focus on building and maintaining

relationships.

9. Our technology stack is insane and the role requires experience and

understanding of technologies like:

a. Python, Pyspark , TensorFlow

b. Databases: MongoDB, Google Cloud SQL, Graph/NoSQL, Bigtable

Vertex A