Principal Technical Architect
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Key skills for this role
About the Role
Presight is seeking a Principal Technical Architect to lead end-to-end architectural vision across application, data, integration, infrastructure, security, and AI domains.
Key Skills for This Role
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
Requirements
- 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)
- Deep expertise across data platforms and advanced analytics (streaming, lakehouse, distributed compute)
- Deep expertise across AI/ML systems at production scale, including LLMs and computer vision
- Deep expertise across MLOps, model lifecycle management, and AI observability
- Deep expertise across enterprise integration, API design, and event driven architectures
- Deep expertise across air gapped, sovereign, and high assurance data centre environments
- Deep expertise across 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
Full Job Posting
Overview
- We are seeking a Principal Technical Architect a hands on technical leader who combines deep architectural expertise with the ability to lead and grow an AI engineering team.
- This is not a pure governance role: the successful candidate will personally drive critical technical decisions, contribute to design and code where needed, and own delivery outcomes alongside their team.
- The role sits at the intersection of architecture, AI/ML engineering, and delivery leadership, partnering closely with engineering, DevOps, cybersecurity, data, and program teams to take complex, enterprise grade solutions from concept to production in demanding environments including air gapped a
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.
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
- Experience managing and mentoring senior engineers and architects.
- Strong stakeholder management and executive level communication skills.
What working at Presight offers
- Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground breaking, industry first innovations.
- Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high tech projects.
- Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
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