Principal Technical Architect

About Presight

The Opportunity

Responsibilities

• - Own the end-to-end architectural vision across application, data, integration, infrastructure, security, and AI domains.
• - Define and enforce architecture standards, reference patterns, and engineering principles aligned with enterprise and cloud strategy.
• - Govern both high-level and low-level designs (HLDs & LLDs), including service architecture, deployment topology, data models, integration patterns, and API contracts.
• - Make and defend critical technical trade-offs across performance, scalability, availability, security, and cost.
• - Lead the AI engineering function: set technical direction for ML pipelines, model serving, evaluation frameworks, and MLOps practices.
• - Provide hands-on technical depth in modern AI/ML stacks (LLMs, computer vision, classical ML, vector search, retrieval pipelines, agentic systems where relevant).
• - Drive responsible AI practices — evaluation, observability, safety, and governance — into the delivery lifecycle.
• - Translate research and emerging capabilities into production-grade, deployable systems.
• - Lead, mentor, and grow a cross-functional team of architects and AI/ML engineers.
• - Own technical delivery accountability end-to-end: scope, design, build, deployment, and go-live.
• - Identify and mitigate technical risks and dependencies early.
• - Establish a strong engineering culture rooted in code quality, security-by-design, and operational excellence.
• - Engage senior stakeholders, including C-level, to align business objectives with technical strategy.
• - Lead technical conversations with vendors, partners, and system integrators.
• - Contribute to proposals, SoWs, and transformation programs as the senior technical authority.
• Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.

Qualifications

• - 10+ years of experience spanning solution architecture, engineering leadership, and hands-on technical delivery.
• - Proven track record leading architecture and engineering teams on large-scale enterprise transformation or AI programs.
• - Demonstrable hands-on depth - this role is not for someone who has stopped engineering.
• - Deep expertise across:
• - Cloud-native and hybrid infrastructure (Kubernetes, containers, service mesh, IaC)
• - Data platforms and advanced analytics (streaming, lakehouse, distributed compute)
• - AI/ML systems at production scale, including LLMs and computer vision
• - MLOps, model lifecycle management, and AI observability
• - Enterprise integration, API design, and event-driven architectures
• - Air-gapped, sovereign, and high-assurance data centre environments
• - Security architecture, zero-trust principles, and security-by-design
• - Experience managing and mentoring senior engineers and architects.
• - Strong stakeholder management and executive-level communication skills.
• What working at Presight offers:

Culture

Career

Rewards