• Lead end-to-end solution architecture centred on Dynamics 365 Business Central, covering system design, solution boundaries, and integration intent • Define how Business Central operates as the core ERP platform, with clear boundaries to Dynamics 365 CE, Power Platform, and external systems • Work directly with senior stakeholders to understand business outcomes and operating models, not just requirements • Translate complex environments into clear, scalable BC-led architecture and solution blueprints • Shape solutions that prioritise standard BC capability, supported by ISVs, Power Platform, and controlled customisation • Own the integration landscape at a solution level, including: • What integrates • What data flows • Key non-functional requirements (frequency, latency, volumes, criticality) (with Technical Architects owning detailed design and implementation) • Be the accountable solution design authority and own key decisions and trade-offs, ensuring alignment to architecture and disciplined change control • Define and enforce a strong change control approach, ensuring impacts to scope, integrations, and non-functional requirements are understood and made explicit • Support pre-sales and shaping activities, including: • Leading or contributing to solution definition during bids and discovery • Translating high-level requirements into credible solution approaches and architecture • Supporting estimation through structured assumptions and solution breakdown • Contribute to commercial confidence, ensuring proposed solutions are deliverable, scalable, and aligned to BC best practice • Perform peer review of solution designs, estimates, and architectural decisions to maintain consistency and quality across the practice • Collaborate with Technical Architects and delivery teams to ensure alignment between solution intent and technical execution • Contribute to the evolution of architecture standards, design governance, and BC delivery methodology • Lead and mentor Functional Consultants, driving capability, consistency, and delivery across projects and the team.

• Lead technical discovery, solution composition, and POV execution across Adobe’s optimization and governance suite to secure technical wins in collaboration with our Sales team. • Drive AI adoption by showcasing how Adobe content optimization solutions deliver high-quality, safe, and brand-accurate AI-generated output. • Elevate customer content visibility and performance through the use of Sites Optimizer to diagnose and improve CWV, authoring workflows, and SEO scalability. • Elevate brand trust by deploying Brand Concierge to safeguard brand equity across various content ecosystems and contributors. • Present impactful demonstrations that showcase the tangible results of optimization initiatives. • Develop playbooks, POV templates, competitive battlecards, and demo assets to scale your impact. • Host internal training sessions to empower the team.

• Architect and evolve our multi-agent orchestration platform (currently built on Hermes / Multica) • Design and implement voice AI pipelines — STT (VibeVoice-ASR, Whisper), real-time TTS with streaming (VibeVoice-Realtime), VAD (Silero), SIP/RTP telephony integration — with sub-300 ms end-to-end latency targets • Build and maintain RAG pipelines with retrieval quality measurement, re-ranking, and hybrid search over vector + keyword indexes • Define MCP server architecture and tool-use contracts across internal and third-party integrations • Fine-tune and evaluate LLMs (LoRA, QLoRA, DPO) for domain-specific tasks including customer support, classification, and structured extraction • Own the AI observability stack: Langfuse tracing, span-level LLM call instrumentation, cost tracking, and quality regression alerting • Define and enforce guardrails: hallucination detection, PII redaction, output safety scanning, and rate-limiting across multi-tenant deployments • Build data ingestion, preprocessing, and feature pipelines supporting model training and continual learning • Drive CI/CD for ML: automated eval gating, shadow deployments, canary releases, and rollback triggers • Set architectural standards for AI systems across the group; conduct design reviews and own ADRs for major decisions • Mentor ML engineers and applied scientists; grow the team's capabilities in production AI, not just prototype AI • Collaborate with Product and Commercial teams to translate business problems into ML problem formulations with clear success metrics • Engage with external research partners and track emerging work (arXiv, conference proceedings, open-source releases) to identify signals worth productionizing

• Engage with clients to understand their requirements and advise on appropriate solution architectures • Collaborate with Product Managers to ensure alignment between client needs and solution design • Work closely with Delivery Managers to oversee the architecture approach during solution deployment • Explore a range of possibilities and creative alternatives to identify the most effective solutions • Ensure that designed solutions are implemented in accordance with client expectations and company standards • Assist in identifying, specifying, and selecting off-the-shelf components to meet client needs • Provide ongoing support and guidance to clients throughout the implementation process • Maintain awareness of industry trends and emerging technologies to continuously improve solutions