• Develops an overall view of the organization's IT technology and operations in relation to its IT strategy. • Oversees multiple architecture domains like application, data, security and technology and ensures they align with the organization's standards. • Works with systems architects to create roadmaps for all domains, determine operational gaps and develops methods for improvement.

• Design and implement end-to-end AI solutions including chatbots, RAG pipelines, autonomous agents, and intelligent automation workflows. • Build fullstack platforms and prototypes rapidly using AI-assisted development tools such as Lovable, v0, Cursor, and Kiro. • Architect and develop AI agent systems using frameworks like LangChain, LangGraph, Strands Agents, and CrewAI, applying agentic design patterns (ReAct, Plan-and-Execute, Reflection, Tool-use). • Design and maintain advanced prompt engineering strategies: chain-of-thought, few-shot, system prompts, structured outputs, prompt chaining, and production prompt libraries with version control. • Build and operate document processing pipelines using Unstructured.io, LlamaParse, Amazon Textract, or Azure Document Intelligence for RAG ingestion. • Integrate and manage vector databases (Pinecone, Qdrant, Weaviate, Chroma) for semantic search and knowledge retrieval, including advanced patterns like hybrid search, reranking, and query decomposition. • Deploy, manage, and optimize AI workloads on AWS (Bedrock, SageMaker, Lambda) and Azure (AI Foundry, OpenAI Service, Cognitive Services). • Implement AI security best practices: prompt injection prevention, jailbreak mitigation, PII detection/redaction, input sanitization, and output validation using guardrails frameworks (NeMo Guardrails, Guardrails AI). • Define and enforce best practices for spec-driven development and AI-assisted engineering workflows across teams. • Implement evaluation frameworks, LLM observability, and tracing pipelines (LangSmith, LangFuse, Helicone, OpenTelemetry) for AI systems in production. • Design API layers for AI services including REST/GraphQL endpoints, webhook integrations, and rate limiting/retry strategies for LLM providers. • Collaborate with clients and stakeholders to scope AI initiatives, identify technical feasibility, and propose architectured solutions. • Mentor junior engineers and contribute to internal knowledge-sharing on AI technologies and methodologies. • Stay current with the rapidly evolving AI landscape and proactively recommend new tools, models, and patterns.

• Execute job studies for automation projects, defining project strategy, conceptual DCS design, deliverables, BoM, man-hour estimates, and design risk mitigation plans • Develop and release technical design documentation, engineering calculations, DCS configurations, and IED selections, with a focus on cost-effective solutions • Lead design reviews and customer technical discussions, resolving comments and driving timely approvals in compliance with quality and engineering standards • Design augmentation solutions that integrate seamlessly with existing systems and infrastructure • Perform critical engineering calculations, including network data flow analysis and data point estimation, and review factory and assembly drawings for design accuracy • Coordinate with cross-functional teams, suppliers, and partners to support FAT, site issue resolution, snag closure, and Site Acceptance Testing • Provide technical leadership for project execution, including multi-protocol IED integration, SAS troubleshooting, and incorporation of lessons learned into future designs • Drive on-time, high-quality delivery of design packages by tracking progress, controlling design hours, mitigating execution risks, and supporting scope and variation order assessments • Represent customer technical requirements in design decisions, align engineering deliverables with business objectives, and ensure strict adherence to EHS standards and safe work practices.

• Provide IT support for Windows, macOS, Android and iOS endpoints across our global remote-first organisation • Manage and maintain endpoint security solutions, ensuring devices remain compliant, patched, and protected • Manage employee onboarding and offboarding processes, ensuring seamless transitions and compliance • Administer and maintain identity & access management solutions, including SSO, MFA, and directory services • Drive security initiatives and maintain compliance frameworks (ISO 27001, ISO 27701), ensuring robust protection of our data • Manage our SaaS application portfolio, including licensing, security configurations, and integrations • Lead and manage IT & Security projects, independently managing timelines and deliverables • Communicate technical concepts and project progress to leadership, ensuring clear organisation-wide visibility