Wonderful opportunity to be in an award-winning DB, AI & ML organisation looking for Sr. Director of Engineering, DB, AI & ML Please DM for further details H/P: +65 9165 5825 || H/P: +91 99867 39628 || E-mail: surendra@pivotal.associates
Brief:
As a member of the Product and Engineering team at Organisation, you will
be part of a team of big thinkers, innovators, and problem solvers who strive
to deepen the positive impact we have on our customers and our company every
day. We value curiosity and the drive to find better ways of doing things. We
thrive on customer empathy, which remains our focus when creating excellent
customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of
view, so we work closely with partners around the globe. As a team, we assume
positive intent in each other’s words and actions, value constructive
discussions, and foster a respectful working environment built on integrity,
growth, and business value. We invest heavily in our people, who are eager to
learn and constantly improve. Join our team and grow with us!
As the Sr. Director of Engineering, AI & ML, you will lead the company’s
global AI and machine learning initiatives, guiding distributed teams across
multiple regions to build robust, scalable AI/ML solutions that power our
products and critical business functions. Your primary focus will be on backend
and data-intensive areas, ensuring our AI/ML systems are designed and deployed
with the highest standards of technical excellence, performance, and
scalability. This role offers a unique opportunity to blend deep technical
expertise with leadership skills, driving impactful change in a fast-paced and
dynamic environment.
This role demands a high degree of technical expertise, particularly in machine
learning engineering, data science, and data platforms, along with strong
leadership skills in managing and coordinating teams across different
geographies and time zones. You will leverage your deep knowledge in areas such
as advanced natural language processing (NLP), generative AI (GenAI) and large
language models (LLMs), ML Operations (MLOps), data architecture, data
pipelines, and cloud-managed services. Your leadership will ensure that our
AI/ML systems align with both local and global business strategies, maintaining
seamless integration and high-performance standards across all regions.
You will build and lead a team of talented data scientists (applied AI) and
machine learning engineers responsible for developing all of our AI/ML
capabilities. You will train and mentor team members, identify and resolve
technical challenges, oversee the integrity of our solutions, establish and
drive delivery targets, and ensure that our ML teams are optimized for
performance, reliability, and security. You will oversee the development of
strong data pipelines, aligning with automated build and CI/CD pipelines and
cloud-native delivery.
Your ability to collaborate with cross-departmental stakeholders, provide
leadership across multiple locations, set high standards for the team, and
hire, train, and retain exceptional talent is foundational to your success. You
will solicit feedback, engage others with empathy, inspire creative thinking,
and help foster a culture of belonging, teamwork, and purpose.
Primary Job
Responsibilities:
- AI & ML Leadership: Shape the strategic vision
and roadmap for AI and ML initiatives, ensuring global alignment with
business goals and cutting-edge technology trends. Drive consistency and
collaboration across geographically dispersed teams
- Technical Oversight: Provide strong technical
leadership in AI and ML engineering globally, particularly in areas like
NLP, semantic search, summarization, and data-driven product development
- Team Leadership & Development: Lead and mentor
a high-performing, globally distributed team of AI/ML engineers and data
scientists. Foster a culture of innovation, collaboration, and continuous
improvement, while ensuring effective communication and coordination
across time zones
- System Architecture & Integration: Oversee the
design and integration of complex AI and ML systems within our global
software architecture. Ensure seamless interaction of these systems with
other business-critical platforms and services across all regions
- MLOps & Data Platform Collaboration:
Collaborate closely with MLOps, Platform Engineering, and Enterprise Data
Platform teams to develop and optimize our global AI and ML
infrastructure, including MLOps pipelines, data architecture, and model
lifecycle management. Leverage modern cloud-based technologies (e.g.,
Snowflake) and frameworks (e.g., Airflow, Kafka) to ensure scalability,
reliability, and efficiency across different regions
- Cross-functional Collaboration: Collaborate closely
with cross-functional teams, including product management, product
engineering, and other business units, to align AI and ML initiatives with
broader global company objectives
- Innovation & Continuous Improvement: Drive
innovation in AI and ML practices on a global scale, continuously seeking
opportunities to improve our technology stack, processes, and
methodologies
- System Integrity & Security: Ensure the
integrity, performance, and security of AI/ML systems globally. Implement
best practices in data governance, model interpretability, and compliance
with industry standards in all operational regions
- Talent Acquisition & Retention: Play a key role
in hiring, training, and retaining top engineering talent worldwide.
Cultivate an environment where team members are motivated, feel valued,
and are encouraged to achieve their full potential, regardless of location
- Culture & Collaboration: Foster a culture of
belonging, psychological safety, and open communication within your global
team and across the organization. Encourage innovative thinking and a
shared sense of purpose, ensuring a cohesive team environment across
regions
- Process: Apply Agile, Lean, and principles of fast
flow to enhance team efficiency and productivity
- Support the vision and values of the company
through role modeling and encouraging desired behaviors
- Participate in various company initiatives and
projects as requested
Skills and Qualifications:
- Bachelor’s, Master’s, or PhD degree in Computer
Science, Mathematics, Data Science, or a related field
- 10+ years of experience in software engineering,
with a focus on AI and ML technologies, managing large-scale global teams
- 10+ years of experience in engineering leadership
roles, managing and mentoring globally distributed engineering teams
- Deep expertise in machine learning, with a strong
focus on NLP, semantic search, and other advanced natural language
processing techniques
- Proven experience with MLOps, data platforms (e.g.,
Snowflake), data pipelines (e.g., Airflow), and messaging platforms (e.g.,
Kafka), across multiple geographic regions
- Strong background in data architecture, software
architecture, and distributed systems, with experience coordinating
technical efforts across global teams
- Proficient in Python, Java, SQL, and other relevant
programming languages and tools
- Experience in cloud-native delivery, with a deep
understanding of containerization technologies such as Kubernetes and
Docker, and the ability to manage these across different regions
- Excellent problem-solving skills with a focus on
innovation, efficiency, and scalability in a global context
- Strong communication and collaboration skills, with
the ability to engage effectively with stakeholders at all levels of the
organization across various cultures and regions
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