Principal AI Architect
AI summary
Reliance Infosystems is hiring a Principal AI Architect in Lagos to serve as the Studio's technical authority. The role involves defining reference architectures for multi-tenant Azure-native agentic products, running architecture reviews, teaching academy modules, and owning unit economics and responsible AI governance. Candidates need 5+ years of experience and strong depth on the Microsoft AI stack.
- Senior technical authority role owning reference architecture and engineering standards
- Hands-on leadership across agent platforms, Azure, identity, and governance
- Includes teaching responsibilities within an internal academy
- Full-time position based in Lagos, Nigeria
- Requires 5+ years of relevant experience and BA/BSc/HND qualification
AI job guide
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AI salary guide
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Can you qualify for this role?
- Required5+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, internship, entregadorThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Principal AI Architect evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Reliance Infosystems and the role in Not specified.
- Add concrete examples related to security, internship, entregador, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from MyJobMag Nigeria; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- MyJobMag Nigeria
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this Principal AI Architect role in security, internship?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Reliance Infosystems before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Reliance Infosystems specializes in designing and implementing business critical information technology solutions, uniquely combining our proven intellectual property with premier partner technologies to provide our customers with the competitive edge needed to succeed in today’s business and technology landscapes. Between the corporate data center ... Principal AI Architect Job Type Full Time Qualification BA/BSc/HND Experience: 5 years Location Lagos Job Field ICT / Computer The mission of this role You are the Studio's technical authority. Every product it ships carries your architectural signature: governed, evaluated, secure, and economical to run. You will teach the academy's hardest weeks yourself, review every venture from its solution gate onward, and set standards that make fourteen early-career builders produce software a CIO will trust. This role demands current, demonstrable depth on the Microsoft AI stack agent platforms, data, identity and governance. Technical credibility is at the core of any studio, we will test for it to ensure candidates suitability. What you will own Reference architecture and standards: multi-tenant, agentic, Azure-native product patterns — identity for agents, observability, evaluation-gated releases, kill switches — adopted by every venture. Quality gates: architecture and evaluation review of every venture from solution validation onward; nothing reaches a paying customer un-reviewed. The academy's technical spine: teach the foundations, agent-engineering and trust modules; run the architecture review bench; make teaching a first-class output, not a distraction. Unit economics: cost-per-run telemetry on every build from its first commit; consumption-aware design so pricing survives contact with reality. Responsible AI and security by design: with the fractional advisor, own the pre-screen and full review that keep products shippable in regulated sectors. Marketplace readiness: architect every product to qualify as a transactable cloud-marketplace offer, certification included. The hardest problems: stay hands-on — the gnarliest integration, the failing eval, the 2 a.m. pilot incident are yours to lead from the front. Your first ninety days Reference architecture and engineering standards published and adopted; environments and CI/CD live for all squads. The academy's first technical modules delivered by you, with teach-back quality the cohort rates highly. One governed internal agent per squad in production — identity, observability and kill switch included — used daily by real staff. Evaluation harness live; the first release blocked by a failing eval (and the lesson taught from it). Cost-per-run telemetry flowing from every active build. How success is measured Performance is reviewed against the Studio's published scoreboard outcome-based, evidence-first, and visible to leadership monthly. Targets below are the twelve-month bar; trajectory reviews at months four, seven and ten. Key performance indicator 12-month target Measured via Standards adoption 100% of ventures on reference architecture; zero un-reviewed releases Architecture review log Production quality ≥5 customer pilots in production under full governance; zero critical security or AI-safety incidents Governance register · incident log Evaluation discipline 100% of releases evaluation-gated; eval coverage visible per venture Release records Unit economics Cost-per-run tracked on 100% of builds; unit economics signed before every paid pilot Venture gate packs Cohort capability Certification ladder on schedule (~42 certifications year-one); every engineer shipping production code monthly Flight-hours ledger Reusable assets ≥2 accelerators/patterns in the Studio library, reused across ventures Library audit Marketplace readiness First product certified as a transactable marketplace offer Certification record Teaching Core technical modules delivered; academy feedback ≥ agreed bar Academy reviews What you bring 5+ years of software engineering with principal/staff-level scope; you have been the final technical word on systems that mattered. You have shipped production AI systems LLM-powered products or agents with real users and can talk concretely about evals, guardrails, failure modes and cost management, not just frameworks. Deep, current Microsoft stack capability: Azure architecture plus the AI/agent platform family (agent runtimes, low-code agent tooling, the data/analytics platform, identity and governance for agents). Relevant certifications are welcome; live depth in an interview matters more. Multi-tenant SaaS architecture experience: — security, isolation, metering and operability designed in, not bolted on. A genuine teaching record: mentorship, workshops or lecturing — and the temperament to enjoy it. A teaching audition is part of our process, and we mean it. Delivery into regulated industries (financial services, energy, health or similar) is a strong advantage. It helps if you also bring: published works or a public technical voice; open-source contributions; experience: taking a product through cloud-marketplace certification. Check how your CV aligns with this job Method of Application Send a CV plus links to systems you have shipped (write-ups, repos, talks evidence over adjectives). Shortlisted candidates complete a whiteboard exercise (architect one of our venture concepts as a multi-tenant agentic product on the Microsoft stack), a deep-dive on an AI system you personally shipped, and a forty-five-minute teaching audition in front of a mixed early-career audience. to careers@relianceinfosystems.com with the subject line “Principal AI Architect”. Build your CV for free. Download in different templates.