Director, GenAI Solutions

Standard Chartered; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Flexible working options

Retirement savings and insurance benefits

Wellbeing support programs

Continuous learning opportunities

Inclusive culture promoting diversity

Job summary

Standard Chartered is seeking a Techno-functional lead in Bengaluru to drive GenAI/LLM projects and oversee their development. The role involves designing solutions, leading teams, and ensuring adherence to governance standards across various stakeholders.

Candidates should have a strong background in AI solutions, hands-on experience with relevant technologies, and excellent stakeholder management skills. A competitive salary and extensive benefits are offered, including flexible working options and a supportive learning culture.

Qualifications

• Experience designing and delivering AI solutions in regulated environments.
• Hands-on exposure to GenAI/LLM projects.
• Background in data/ML engineering.

Responsibilities

• Define end-to-end solution architecture.
• Lead pods and mentor specialists.
• Embed governance into design.

Skills

GenAI/agentic concepts

Product & portfolio management

Stakeholder management

AI risk management literacy

Education

Degree in Computer Science, Engineering, or related discipline

Tools

GenAI/LLM platforms

Python

Vector databases

Job description

Job Description

• Personally, drives complex / new POCs and prototypes (especially first‑of‑kind / lighthouse use cases)

Key Responsibilities

Role Nature

• Being a Techno‑functional lead
• Designs + builds POCs
• Assures product ionisation

Use Case Ownership

• Owns use case shaping
• Decides which ones move to build

POC / Prototype Development

• Personally, drives complex / new POCs and prototypes (especially first‑of‑kind / lighthouse use cases)

Solution Design

• Defines end‑to‑end solution architecture (functional + GenAI patterns)

Technical Depth

• Strong hands‑on capability across RAG, orchestration, agents, evaluation — not just conceptual

Production Implementation

• Oversees Technology implementation — defines logic, validates outputs, signs‑off functional correctness

Engineering Responsibility

• Does NOT own engineering runtime, but deeply involved in design validation & acceptance

Evaluation & Testing

• Defines evaluation frameworks, approves production readiness, ensures auditability

Governance

• Embeds governance into design, but NOT a governance‑only role

Standards & Reuse

• Creates reusable patterns, reference designs, and drives reuse at scale

Business Outcomes

• Accountable for value (efficiency / effectiveness / experience)

Leadership Role

• Leads pods, mentors specialists, drives solution direction across squads

People & Talent

• Lead through example and demonstrate the bank’s culture and values

Key Stakeholders

• Technology (AI Engineering Lead; Data Engineering Lead; platform owners)
• Functions CDO stakeholders (standards, platform, data foundations)
• AI Services
• Legal, Privacy, Cyber Security, Model Risk, Operational Risk
• Internal Audit / Assurance partners
• COO / Finance partners (capacity and investment planning)
• AI Solutions Team
• Compliance & Governance

Other Responsibilities

• Exposure to advanced machine learning methodologies is a plus
• Embed “Here for Good” and Group values within the team and across partner interactions.
• Perform other responsibilities as assigned under Group, country, business, or functional policies and procedures, consistent with role scope.

Skills and Experience

• GenAI/agentic concepts
• Product & portfolio management (intake, prioritisation, lifecycle, adoption)
• AI risk management literacy (validation, drift/monitoring concepts)
• Stakeholder management and operating model design

Qualifications

• Degree in Computer Science, Engineering, Data/Analytics, Information Systems, or related discipline.
• Certifications or training in AI/ML, GenAI, cloud, or solution architecture are an advantage

Experience

• Experience designing and delivering digital, data, or AI solutions in a complex, regulated environment (financial services or consulting preferred).
• Must have built GenAI solutions / POCs themselves — not just supervised
• Hands‑on exposure to GenAI/LLM projects (POCs, pilots, or production solutions).
• Background in one or more of: solution architecture, data/ML engineering, or advanced analytics.

Technical Skills

• Hands‑on experience with:
  • GenAI/LLM platforms and APIs.
  • Retrieval‑Augmented Generation (RAG) architectures.
  • Vector databases / search (e.g., embedding‑based retrieval, hybrid search).
• Strong skills in Python or similar languages for building data and context pipelines.
• Familiarity with prompt engineering, prompt orchestration, and LLM configuration.
• Understanding of information retrieval, NLP, document processing, and metadata design.
• Experience with APIs, microservices, and integration patterns is beneficial.
• Ability to translate business problems into executable GenAI designs.
• Strong in RAG, orchestration, agents, evaluation frameworks.
• Demonstrated experience building and operationalising GenAI solutions in regulated environments.

Risk, Control & Compliance Awareness

• Strong appreciation of data privacy, information security, and regulatory constraints in banking.
• Understanding of key risks associated with GenAI (bias, hallucination, data leakage, misuse) and how to mitigate them.
• Deep understanding of hallucination control, safety, testing frameworks.

Analytical, Product & Problem‑Solving Skills

• Ability to translate ambiguous business problems into structured GenAI solutions and MVPs.
• Product mindset: focus on user needs, value, and measurable outcomes.
• Comfortable with experimentation, A/B testing, and evidence‑based iteration.

Stakeholder & Communication Skills

• Strong communication skills; able to explain GenAI capabilities, limitations, and trade‑offs to non‑technical stakeholders.
• Effective collaboration with Business, Technology, Risk, Compliance, and Data teams.
• Ability to manage expectations, influence decisions, and build consensus.

Personal Attributes

• High integrity and strong risk and control mindset.
• Curious, pragmatic, and outcomes‑oriented.
• Leads solutioning, not just governance forums.
• Comfortable operating in a fast‑evolving technology and regulatory environment.
• Collaborative and adaptable, with a willingness to learn and share knowledge.

Benefits

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time‑off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market‑leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first‑aider and all sorts of self‑help toolkits.
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies – everyone feels respected and can realise their full potential.