Description
Hewlett Packard Enterprise is seeking a technically proficient, business-savvy AI Solutions Architect with a deep understanding of marketing operations, workflows, and data flows.
The AI Solution Architect will collaborate closely with AI/ML engineering teams, data engineering, IT, and third-party vendors to develop secure, compliant, and scalable AI solutions aligned with organisational objectives.
Key Responsibilities:
- Business & Process Analysis:
- Conduct comprehensive assessments of current marketing workflows, including cross-team handoffs, operational dependencies, and data flows.
- Map end-to-end marketing and communications processes, identifying bottlenecks, redundancies, and automation opportunities.
- Understand the data landscape, including sources, quality, and integration points, to inform AI embedding strategies.
- AI Architecture Alignment & Integration:
- Work closely with the engineering-side AI architecture team to understand the to-be AI architecture and how manual or semi-automated marketing processes are being transformed into intelligent, automated solutions.
- Maintain a strong working knowledge of the AI solutions being built (LLMs, retrieval-augmented generation, recommendation engines, and other generative AI tools).
- Drive the onboarding and integration of AI agents, tools and applications onto the MarTech stack.
- Workflow & Data Streamlining:
- Collaborate with Data Engineering teams to design data pipelines that facilitate efficient, low-overhead data flow into and out of AI applications.
- Ensure data governance, security, and privacy are embedded into all AI solutions.
- Technology Stack & Platform Enablement:
- Work with IT, platform engineering, and AI teams to specify infrastructure needs.
- Define and specify performance requirements such as latency, throughput, availability, and resilience for AI services.
- Vendor & Build vs. Buy Strategies:
- Lead vendor evaluations, perform technical due diligence, and advise on build vs. buy decisions.
- Ensure selected AI tools and platforms align with organisational standards, security policies, and enterprise architecture.
- Governance, Risk, and Compliance:
- Apply enterprise AI governance frameworks, incorporating privacy, security, safety, and ethical considerations.
- Assess vendor risks, including data residency, lock-in, and operational support.
Requirements:
- A bachelor's degree in computer science, software engineering, or a related field is required.
- Enterprise Architecture & Solution Design: Ability to design scalable, secure, and enterprise-aligned AI and MarTech solutions.
- AI & Data Technologies: Knowledge of modern AI solutions, including large language models (LLMs), generative AI, retrieval-augmented generation, recommendation engines, and AI workflow orchestration.
- Cloud & Infrastructure: Familiarity with cloud platforms (Azure, AWS, GCP), cloud services, networking, environment management, and AI-specific infrastructure components.
- Integration & Data Management: Experience with system dependencies, API design, data access patterns, integration standards, and data governance.
- Security & Governance: Understanding of enterprise security practices, privacy, compliance, risk assessment, and vendor due diligence related to AI solutions.
- Communication & Stakeholder Management: Strong ability to communicate complex technical concepts to non-technical stakeholders and influence cross-functional teams.
What We Can Offer You:
- Health & Wellbeing: Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.
- Personal & Professional Development: Specific programs catered to helping you reach career goals.
- Unconditional Inclusion: Celebrate individual uniqueness and have the flexibility to manage work and personal needs.