• 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

This is a remote position. Finance Systems Analyst Reporting to Finance Domain QA Lead through a pooled review model, provides fractional subject matter expertise to support targeted validation of higher-risk workflows, scenarios, and releases. This role is intended for experienced finance practitioners who can assess whether outputs are not only technically functional but credible and safe in the office of the CFO. Key Responsibilities What You'll Do · Review selected benchmark scenarios and outputs for finance correctness, control alignment, and usability. · Participate in signoff for higher-risk releases and business-critical workflow changes. · Identify domain edge cases, materiality concerns, and process nuances that should be reflected in quality standards. · Provide structured feedback into rubric improvement, benchmark coverage, and escalation rules. Engagement Model · Operate as a pooled, part-time reviewer rather than a full-time QA resource. · Support release reviews, scenario workshops, and targeted issue triage as needed across pods. Requirements Required Qualifications · 7+ years of experience in accounting, FP&A, controllership, transaction services, finance operations, or related CFO-domain functions. · Strong domain credibility and sound judgment. · Ability to provide concise, reviewable feedback within a structured QA process. · Experience with transformation, process design, or technology-enabled finance work preferred. · Bachelor's degree preferred. You Are · Practical and business-minded. · Comfortable distinguishing acceptable draft quality from unacceptable business risk. · Clear, concise, and dependable in review feedback. · Collaborative with both practice leaders and technology teams. Benefits Base salary plus performance-based bonus. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education, certifications, cost of labor, and internal equity.