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AI Native Engineer

Standard Chartered

Chennai

5-8 years

1 day ago

$36.1K–53.0K/yr

Full-time

Onsite

Skills Required Agentic AI

Gen AI

LLM

RAG

Azure OpenAI agentic workflows open-source LLMs

AI

Description AI-Native Engineer role within the AI Centre of Excellence at Standard Chartered. Focused on discovering, assessing, prototyping and redesigning end-to-end business processes using AI and data products to deliver measurable business value.

Company: Standard Chartered

Role: AI Native Engineer - RCFCR AI CoE

Location: Chennai, IND | Office Working

Experience

- 5-8 years of experience in process transformation, consulting, AI delivery, digital transformation, business architecture, product engineering or operational excellence
- Experience conducting process discovery, baseline measurement, value assessment and business case development
- Experience building prototypes or MVPs using Microsoft AI platforms, enterprise automation tools or approved open-source technologies
- Strong understanding of Generative AI, Agentic AI, RAG, automation, data products and responsible AI considerations
- Experience working across business, technology, data, governance, risk and operations teams in a regulated environment

Responsibilities

- Discover, assess, prototype and redesign end-to-end business processes using AI, GenAI, agentic AI, automation and data products
- Translate current-state process pain points into future-state AI-enabled operating models aligned to a North Star 2030 vision
- Support the AI transformation agenda by identifying processes that can be materially improved or reimagined
- Apply a 2030-forward mindset to design simpler, faster, more intelligent and better controlled operating models
- Assess emerging AI capabilities, Microsoft AI tools, open-source models and reusable enterprise patterns
- Contribute to reusable AI design patterns, prototype assets, discovery methods, value frameworks and process redesign playbooks
- Conduct structured process discovery with process owners, product owners, SMEs, operations teams and technology partners
- Map end-to-end processes including upstream inputs, workflow steps, systems, decisions, controls, handoffs, rework, exceptions, downstream outputs and user experience
- Identify process friction, manual effort, delays, duplication, control gaps, data issues, knowledge gaps and decision bottlenecks
- Assess business value across productivity, capacity release, cycle-time reduction, cost avoidance, quality improvement, risk reduction, improved control effectiveness and decision support
- Create value hypotheses and business cases supported by quantified benefit assumptions, baseline metrics and prioritization rationale




- Establish baseline metrics for current-state processes including volume, effort, cycle time, SLA performance, error rates, rework, control breaks, cost per transaction and productivity measures
- Assess data readiness by reviewing data availability, quality, lineage, ownership, access pathways, source systems, unstructured content, knowledge repositories and remediation needs
- Determine the right AI tool or solution pattern for the business problem
- Perform build, buy, reuse or partner assessments and recommend the most appropriate path
- Build prototypes, proof-of-concepts and minimum viable solutions using Microsoft AI suites, approved enterprise platforms or open-source models
- Redesign the end-to-end process into a North Star 2030 blueprint with future-state human plus AI operating model, agent-in-the-loop and human-in-the-loop controls, decision flow, data dependencies and adoption approach
- Ensure proposed AI solutions are designed in line with responsible AI, model risk, data privacy, security, operational resilience, conduct and regulatory expectations
- Identify process, data, model, control, adoption, operational and implementation risks during discovery, prototyping and future-state design
- Build human oversight, control checkpoints, usage boundaries, monitoring requirements and escalation points into solution designs
- Partner with governance, risk, compliance and assurance stakeholders to ensure prototypes and scalable solutions are evidence-led, controlled and auditable
- Maintain clear documentation of process discovery outputs, baseline metrics, value assessments, data readiness findings, solution fitment decisions, prototype results and North Star process designs
- Support AI stage-gate forums and governance reviews with evidence-based recommendations on prioritisation, investment, progression, redesign or retirement
- Track expected and realised value against agreed baselines and success measures
- Ensure AI initiatives are traceable from problem statement to value case, prototype, future-state design and adoption plan
- Display exemplary conduct and live by the Group's Values and Code of Conduct
- Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank
- Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters




- Lead or support the relevant business/function/team to achieve outcomes aligned to Conduct Principles, where applicable

Additional Responsibilities

- Deliver measurable outcomes across productivity, cycle-time reduction, quality improvement, control uplift, risk reduction and user experience

Nice To Have

- Other Skills: Action Oriented
- Other Skills: Collaborates
- Other Skills: Customer Focus
- Other Skills: Courage
- Other Skills: Instils Trust
- Other Skills: Nimble Learning
- Other Skills: Decision Quality
- Other Skills: Manages Ambiguity
- Other Skills: Strategic Mindset
- Minimum 30 days combined annual and public holidays
- Versatile working options based around home and office locations
- Flexible working patterns
- Core bank funding for retirement savings, medical and life insurance
- Voluntary benefits available in some locations
- Parental/maternity leave of 20 weeks
- Sabbatical leave of up to 12 months
- Volunteering leave of 3 days
- Wellbeing support through Unmind
- Development courses for resilience and other human skills
- Global Employee Assistance Programme
- Sick leave
- Mental health first-aiders
- Self-help toolkits
- Continuous learning culture
- Opportunities to reskill and upskill
- Access to physical, virtual and digital learning
- Inclusive and values driven organisation

More Skills Process discovery, Process mining, End-to-end journey mapping, Value engineering, Baseline metric definition, Benefit realisation, Data readiness assessment, Data quality, Data ownership, Data lineage, Data access, AI solution fitment, Microsoft AI suites, Automation patterns, Rapid prototyping, Microsoft AI platforms, Power Platform, Azure AI, Open-source models, Future-state process redesign, North Star 2030 operating model, Microsoft Copilot, Copilot Studio, Azure AI Foundry, Microsoft Fabric, intelligent automation, knowledge agents, workflow automation, data-enabled solutions, responsible AI

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