Associate Principal, AI Innovation

KEY RESPONSIBILITIES

Innovation Delivery & Execution

· Design and develop proof-of-concepts (POCs) across AI, data, and platform use cases

· Translate business problems into working technical solutions (not just concepts)

· Drive initiatives from idea, prototype, pilot to production readiness

· Build reusable frameworks, accelerators, and tools

· Ensure prototypes are designed with scalability in mind, enabling seamless transition into enterprise-grade solutions

AI & Emerging Technology Implementation

· Work on AI use cases such as:

o LLM-based applications (RAG, copilots, automation)

o Data extraction & document intelligence

o Analytics and insight generation tools

· Evaluate and integrate tools such as:

o AWS (Bedrock, Textract, Q Developer, etc.)

o External AI platforms (Devin, Copilot, etc.)

o Continuously evaluate new AI platforms, frameworks, and developer productivity tools to maintain CTOS at the forefront of innovation.

· Design scalable and cost-efficient architectures

Stakeholder Engagement

Work directly with stakeholders which include business and engineering team.

Present solutions in simple, business-friendly language

Translate technical outcomes into business value (ROI, efficiency, impact)

Act as a trusted advisor to senior leadership, bridging technical possibilities with strategic priorities

Rapid Prototyping Culture

Deliver working prototypes within required timeline.

· Balance speed with structure when transitioning to production

· Champion a fail-fast, learn-fast mindset to accelerate innovation cycles.

Solution Architecture & Design

Define high-level and low-level architecture for innovation solutions

Ensure scalability, security alignment and integration with existing systems

Collaborate with Infrasturcture, Security, and Development teams

Hands-on experience with orchestration tools, APIs, and integration patterns to connect AI solutions with enterprise systems

Process & Capability Building

Establish best practices for AI adoption, innovation lifecycle and tool evaluation

Mentor junior team members

Contribute to building a high-performing innovation team

· Shape CTOS’s innovation playbook, embedding best practices into the organisation’s

WHAT DOES IT TAKE TO BE SUCCESSFUL

Qualifications

· Exposure to AWS AI services (Bedrock, Textract, etc.) and developer productivity tools (Copilots, AI IDEs)

Work Experience

· 5+ years of experience in software engineering / solution architecture / innovation leadership roles

· Proven track record of delivering real working solutions (not just documentation) and handle enterprise-scale systems.

· Experience in financial services / data platforms

· Experience working on AI-driven products or automation platforms

Skills & Competencies

· Technical Skills

o Strong programming capability in Java, Python, or Full-Stack development.

o Experience working with cloud platforms (AWS preferred) and API / microservices architectures.

o Exposure to AI/ML and Generative AI technologies (e.g., LLMs, RAG, automation frameworks).

o Good understanding of system design, data architecture, and databases (SQL, NoSQL, Vector, Graph).

o Hands-on experience with orchestration tools, APIs, and system integration patterns.

· Soft Skills

o Strong ownership mindset with the ability to drive initiatives independently in fast-paced environments.

o Comfortable navigating ambiguity and rapid experimentation in innovation-driven environments.

o Effective communication skills, able to translate technical concepts to business stakeholders.

o Strong stakeholder management, with the ability to collaborate across functions and senior leadership.

o Ability to mentor team members and foster a culture of innovation and continuous learning.