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.
About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
- Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
- Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
- Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
What we offer
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-aiders 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.
Recruitment Assessments
Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.
Visit our careers website www.sc.com/careers