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Dev Ops Lead - Virtual Assistant and Automation

Appcast Enterprise·Sunbury-on-Thames (South East England)HybridLead
Salary not stated
Vox Summary
  • Role Focus: Lead the design, development, and deployment of AI-enabled solutions, ensuring operational excellence, governance, and scalable global delivery.
  • Key Requirements: Experience delivering enterprise AI systems, strong programming skills (Python preferred), cloud platform familiarity (AWS, Azure, GCP), and knowledge of AI tooling frameworks.
  • Leadership & Management: Provide technical leadership, coaching, and mentorship; manage vendor relationships; lead change projects; and build high-performing teams.
  • Conditions & Benefits: Engage in thought leadership, build strategic partnerships, and support a roadmap of technical change aligned with business strategies.
  • Location & Schedule: Based in Sunbury-on-Thames, South East England, with a hybrid work mode; full-time schedule.
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Job description

Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner. Role Purpose • Lead the technical design, development and deployment of enterprise AI-enabled solutions aligned to People & Culture priorities • Own service integrity, operational excellence, and governance across AI and digital people platforms • Handle and partner with external vendors / configuration centres to deliver scalable, compliant solutions globally • Act as a link between engineering, product, data science ensuring solutions move beyond prototypes into sustainable production AI & Engineering Leadership • Design, develop and maintain production-grade AI applications and services using modern engineering practices (cloud-native design, CI/CD, testing, observability). • Define and implement reusable AI platforms and capabilities (e.g. conversational assistants, AI search, unstructured data processing, GenAI solutions). • Lead architectural decisions, ensuring responsible AI, explain ability, security, and operational robustness are embedded by design. • Evaluate and integrate LLMs, vector databases, RAG patterns, agent-based frameworks, and AI APIs into enterprise-ready solutions. • Champion automation across the AI lifecycle from data ingestion to deployment and run. Service, Delivery & Governance Ownership • Be the point of accountability for system and solution integrity, ensuring incidents, risks and issues are led clearly and effectively. • Define and maintain service catalogues, clarifying scope, ownership, and delivery expectations. • Ensure solutions meet bp standards, compliance requirements (incl. SoX), and global consistency needs. • Chair regular governance, operational risk, and retrospective sessions with partners and vendors. • Ensure smooth transition of new solutions, enhancements, and AI capabilities into run-state operations. Vendor & Partner Management • Lead external vendors / configuration centres, ensuring capacity, capability, and delivery quality align with demand. • Act as a key partner to Global Solution Owners, P&C leadership, technology teams, and business customers. • Embed agile ways of working and continuous improvement practices across delivery teams. • Translate complex technical and AI concepts into clear business insights and outcomes Inspiring change from incremental improvements through to transformations • Support leadership in building a short & medium-term roadmap of technical change that supports the business and P&C strategies • Leading a portfolio of change projects, ranging in size and complexity, in support of an agreed the roadmap • Agree and handle annual budgets accordingly Thought leadership in AI, VA and automation solutions • Be a thought-leader in bp in the AI, VA and automation solutions through extensive external networking and continuous landscape analysis Building partnerships • Being a great partner with numerous internal senior leaders – primarily the respective members of the Core leadership team • Securing alignment on priorities and leading their requirements / expectations on projects • Building strategic relationships / partnerships with external partners where appropriate • Assisting I&E in the operational oversight of our vendors / partners Building a high-performing team • Provide technical leadership, coaching and mentorship across engineering, data science, and solution teams. • Inspiring and motivating a permanent team, and third-party project resources, to deliver great results • Develop a safe, inclusive, high-performance environment where teams can innovate and deliver at pace. • Establishing a team that find the optimal balance of WHAT they deliver and HOW they deliver • Presents the highest level of professional individual contribution and imparts technical expertise to lower level team members; • Advises and directs subordinates and project resources to help accomplish assignments using established guidelines, procedures and policies; • Reviews and evaluates team members’ performance. Essential Experience and Job Requirements: Actively working to develop capability in line with the P&C Capability Framework, with an equal blend of EQ, IQ and drive. Technical Capability • Confirmed experience in multiple organisational change management roles, including demonstrated skills in leadership alignment, partner identification and analysis • Shown experience delivering enterprise-scale systems and AI-enabled solutions in production • Strong programming skills (Python preferred; Java or similar acceptable) • Solid experience with cloud platforms (AWS, Azure or GCP) and modern DevOps practices • Experience integrating machine learning / GenAI models into real-world systems • Experience with LLMs, RAG, vector search, conversational AI, or unstructured data pipelines • Familiarity with AI tooling/frameworks (e.g. LangChain, LlamaIndex, Haystack, Hugging Face, CrewAI) • Experience leading SaaS / cloud-based HR or enterprise platforms • Skilled at using data and analytics to identify outcomes and improve decision making; e.g. process improvements and candidate experience improvements Business Capability Strong partner management skill

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Original source
reed.co.uk
Posted
Jul 22, 2026 · true date
Last verified
2 hours ago
Quality score
35/100
Salary stated0
Company identified0
applyUrl0
postedAt15
Complete description20

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