Solution Architect

2 weeks ago

Sydney, New South Wales, Australia Endava Full time
Overview

Solution Architect - Agentic AI at Endava, Sydney, New South Wales, Australia. You will combine deep technical expertise with client-facing leadership to shape and lead pre-sales engagements, craft solution visions, and design robust agentic architectures addressing complex challenges in sectors such as finance, healthcare, energy, and government. The role balances hands-on innovation with client engagement to deliver compelling solutions upfront and successful production deployments.

Responsibilities
  • Pre-Sales & Architecture Leadership
    • Craft solutions addressing complex business challenges in regulated sectors.
    • Lead pre-sales engagements – workshops, discovery sessions, RFP/RFI responses, business cases, and architecture deep-dives.
    • Design demonstrators and PoCs to showcase capabilities and accelerate buying confidence.
    • Translate scope into delivery-ready programmes with seamless handover to delivery teams.
    • Champion best practices and responsible AI, embedding security, privacy, governance and ethical considerations from day one.
  • Delivery & Capability Building
    • Architect, prototype, and deliver production-grade agentic architectures.
    • Build integrations with enterprise systems, APIs, and workflows ensuring scalability and resilience.
    • Deploy, monitor, and continuously improve AI agents in real-world client environments.
    • Mentor consultants and engineers, elevating capability across the region and contributing to Endava's global communities of practice.
    QualificationsEssential Skills
    • Demonstrated track record of building and deploying AI agents or agentic architectures in production, not just PoCs.
    • Proven ability to lead pre-sales engagements – shaping solution visions, running workshops, responding to RFPs/RFIs, and designing architectures that win client trust.
    • Strong grasp of agentic AI frameworks (e.g. LangChain, LlamaIndex, AutoGen) and orchestration patterns.
    • Ability to explain and simplify complex AI concepts to technical teams and senior executives.
    • Solid software engineering fundamentals including CI/CD, observability, testing, and scalable system design.
    Desirable Skills
    • Experience designing multi-agent systems or autonomous workflows.
    • Knowledge of retrieval-augmented generation (RAG) patterns, vector databases, and fine-tuning techniques.
    • Hands-on experience with cloud AI platforms (Azure, AWS, GCP) and MLOps practices.
    • Publications, conference speaking, or open-source contributions in the AI/agent space.
    • Ability to mentor and coach teams.
    Additional Information
    • Endava offers a range of benefits supporting career development, work-life balance, health, and community involvement, including hybrid work and flexible hours, wellbeing programs, and global tech communities.

At Endava, we're committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.


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