architecture manager

Accenture

<div><p><b>YOU ARE</b></p><p>
As a Lead and Principal Infrastructure Architect, you own end-to-end responsibility for designing optimized compute infrastructure for large-scale AI and machine learning systems, including large-scale distributed training environments. You are the authority who translates business goals, SLAs, and client standards into infrastructure architectures that perform at scale while being deliberately engineered for cost-efficiency.</p><p></p><p>
Drawing on deep experience, you weigh multiple viable solutions for any given problem &mdash; across compute, networking, storage, orchestration, and model serving &mdash; and make rational, well-justified architectural decisions tailored to each client's situation, constraints, and standards. You architect and optimize the full computational stack for performance, power, cost, and scalability; design and tune large-scale GPU clusters and distributed training systems; and ensure infrastructure meets security, compliance, and regulatory requirements. As the recognized AI infrastructure expert in at least one hyperscaler cloud (such as AWS, Azure, or Google Cloud), you bring authoritative knowledge of that platform's AI/ML services, accelerators, networking, and cost levers, and apply it to deliver best-in-class solutions. Beyond design, you set technical direction and standards, lead and mentor engineers and architects, partner with clients and stakeholders to shape the infrastructure roadmap, and are ultimately accountable for delivering AI/ML infrastructure that meets business SLAs, controls cost, and scales to enterprise and frontier workloads.</p><p><b>
THE WORK</b></p><ul><li>
Own the end-to-end architecture and design of optimized compute infrastructure for large-scale AI/ML systems, including large-scale distributed training environments, from concept through delivery.</li><li>
Develop and evaluate architecture alternatives, weighing trade-offs across compute, networking, storage, orchestration, and model serving to make rational, well-justified decisions tailored to each client's situation and standards.</li><li>
Lead architecture assessments and reviews of existing and proposed environments, identifying gaps, risks, bottlenecks, and optimization opportunities, and recommending remediation.</li><li>
Drive architectural decision-making, documenting rationale, trade-offs, and assumptions so decisions are transparent, defensible, and aligned with business SLAs and standards.</li><li>
Define and maintain the AI infrastructure roadmap, planning capacity, scaling, and technology evolution in step with business and product goals.</li><li>
Architect and optimize the full computational stack for performance, power, cost, and scalability, ensuring infrastructure meets business SLAs while being deliberately engineered for cost-efficiency.</li><li>
Design and tune large-scale GPU clusters and distributed training systems, including accelerator selection, interconnect/networking, and storage for high-throughput training workloads.</li><li>
Serve as the authoritative AI infrastructure expert in at least one hyperscaler cloud (AWS, Azure, or GCP), applying deep knowledge of its AI/ML services, accelerators, networking, and cost levers.</li><li>
Design deployment, automation, and CI/CD strategies for reliable, repeatable, and scalable releases of AI systems, models, and data pipelines into production.</li><li>
Establish AI monitoring and observability strategy across InfraOps and MLOps, defining SLAs, SLOs, alerting, and performance/cost tracking, and driving continuous optimization.</li><li>
Integrate AI/ML systems into enterprise environments, ensuring interoperability, security, compliance, and adherence to regulatory and client standards.</li><li>
Lead capacity planning and cost modeling, forecasting compute needs and engineering cost-efficiency into the architecture without compromising performance.</li><li>
Collaborate with clients, stakeholders, and engineering teams to align infrastructure decisions with business outcomes, translating requirements into actionable architecture and standards.</li><li>
Set technical direction, standards, and best practices, mentoring engineers and architects and leading design and code reviews across the team.</li></ul></div>
<br>
<div><p><b>EDUCATION</b></p><ul><li>
Bachelor's Degree in Computer Science, Computer Engineering, related Engineering field</li></ul><p><b>
BASIC (REQUIRED) QUALIFICATION</b></p><ul><li>
Expertise in coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud.</li><li>
Strong understanding of AI and machine learning as a subject.</li><li>
Strong understanding of computing infrastructure, preferred knowledge of AI infrastructure.</li><li>
Proficiency in programming languages such as Python, Java, or C++.</li><li>
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow).</li><li>
Strong problem-solving skills and ability to work in a fast-paced environment.</li><li>
Excellent communication and collaboration skills.</li><li>
Experience in AI/ML infrastructure engineering or related roles on a hyperscaler platform for deploying large scale solutions.</li><li>
Proven experience in leading and managing AI projects and teams.</li><li>
Strong project management skills, with the ability to manage multiple projects simultaneously.</li><li>
Demonstrated experience in evaluating and selecting AI technologies and frameworks.</li><li>
Ability to work with cross-functional teams and drive project alignment.</li></ul></div>

AI Infrastructure Architecture Manager

<div><p><b>YOU ARE</b></p><p>
As an experienced and senior AI/LLM Architect, you will play a pivotal in designing and delivering end-to-end AI platform architectures that power the modern, reinvented enterprise. Operating at the intersection of business and engineering, you will own the technical design of advanced AI systems &mdash; spanning classical machine learning, generative AI, and agentic systems &mdash; ensuring they are purposefully architected to meet client business objectives and enterprise-grade standards.
</p><p></p><p>Within this scope, you will take deep ownership of one or more critical architecture domains &mdash; such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, or model platforms and inference &mdash; serving as the lead authority in your domain across client engagements. You will develop and maintain specialized expertise in the technologies, patterns, and emerging practices within your domain, bringing that depth to bear in shaping architecture decisions, accelerating delivery, and building reusable assets that extend across the practice. You will evaluate, select, and apply the right design patterns, technical frameworks, and tools within your domain and across the broader AI architecture &mdash; ensuring cohesion across the full system. This includes architecting AI agents encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as the integration of fine-tuned foundation models and classical ML models into scalable, production-ready platforms.
</p><p></p><p>A critical dimension of this is owning the design of a comprehensive AI context layer &mdash; drawing on enterprise knowledge bases, structured and unstructured data sources, and domain-specific content &mdash; to ground AI systems in the realities of each client's business and ensure outputs are accurate, trustworthy, and impactful. As the technical authority on your domains, you will lead architecture decisions and be accountable for ensuring systems meet rigorous non-functional requirements across security, observability, governance, performance, and scalability. You will produce and own the architecture artifacts that shape delivery &mdash; including architecture decision records (ADRs), component and data flow diagrams, and integration specifications &mdash; and provide the technical leadership that enables cross-functional teams of data engineers, ML engineers, and application developers to execute with clarity and confidence.
</p><p>Your contributions will be instrumental in shaping how clients adopt and scale AI, pushing the boundaries of what these systems can achieve and delivering measurable, lasting business value.</p><p></p><p><b>
THE WORK</b></p><ul><li>
Translate business strategy into a technical vision by defining the non-functional requirements (NFRs) necessary to meet operational goals for performance, reliability, and cost.</li><li>
Lead stakeholder workshops to align on technical feasibility, define project scope, and manage expectations with clients and leadership.</li><li>
Drive the technology selection process, evaluating build-vs-buy decisions for AI platforms (e.g., Arize, LangSmith) and foundational models.</li><li>
Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane.</li><li>
Design and implement the Agent Registry as the mandatory system of record and the AI Gateway for runtime policy enforcement.</li><li>
Design and implement a certification gate to ensure no uncertified agents enter production, validating identity, policies, and evaluation metrics.</li><li>
Design, implement, and abstract core agent services, including a first-class abstracted memory service with semantic, episodic, and procedural endpoints.</li><li>
Architect the end-to-end data pipeline for AI systems, including data ingestion, preprocessing, and synchronization for fine-tuning and RAG.</li><li>
Design and implement the context layer&mdash;spanning knowledge graphs, vector search, and semantic retrieval&mdash;to create reliable, grounded RAG pipelines.</li><li>
Architect foundation model adaptation strategies, including dynamic, cost-and-performance-aware model routing and selection.</li><li>
Design, implement, and prototype high-throughput, low-latency inferencing solutions using techniques like response caching and request batching.</li><li>
Define security, governance, and observability as centrally-enforced, by-design controls for all AI systems.</li><li>
Architect a robust, defense-in-depth security framework, including per-agent identity with IAM/IAP binding and layered guardrails.</li><li>
Design and implement FinOps controls enforced at the AI Gateway, including token budgets, cost-center labeling, and threshold alerts.</li><li>
Establish the framework for comprehensive system evaluation, adopting productized tools and instrumenting observability with OTel</li><li>
Define and maintain the enterprise-wide AI reference architecture, reusable design patterns, and a library of approved software components.</li><li>
Independently design, implement, build, and deliver proof-of-concept prototypes and foundational software components to validate architectural decisions.</li><li>
Produce and own authoritative architecture artifacts, including blueprints, sequence diagrams, design specifications, and Architectural Decision Records (ADRs).</li><li>
Mentor and guide cross-functional engineering teams (data, ML, application) on architectural best practices and design patterns.</li><li>
Continuously research and integrate emerging AI patterns, frameworks, and technologies to maintain a forward-looking architecture.</li></ul></div>
<br>
<div><p><b>EDUCATION</b></p><ul><li>
Bachelor's Degree or equivalent</li></ul><p><b>
BASIC (REQUIRED) QUALIFICATION</b></p><ul><li>
Experience in designing &amp; deploying enterprise grade advanced AI solutions using agentic, generative and classical AI/ML using at least one cloud vendor.</li><li>
Experience in the Agentic, LLM and Generative AI space.</li><li>
Coding experience using Python</li><li>
Experience architecting and operationalizing LLM driven application architecture patterns.</li><li>
Expertise in coding engineering, machine learning, deep learning and NLP solutions and applications.</li><li>
Experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical engineering solutions.</li></ul></div>

AI LLM Technology Architecture Manager

<div><p><b>YOU ARE</b></p><p>
As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands-on &mdash; you will spend the majority of your time in the architecture and engineering of real-world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements.
</p><p>You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise-grade reliability. You will design and build AI agent architectures &mdash; including multi-agent orchestration, tool use, skills use, and memory systems &mdash; and work hands-on with foundation models through fine-tuning, retrieval-augmented generation (RAG), and custom model integration.
</p><p></p><p>A part of your work will also involve engineering the AI context layer that makes these systems intelligent in practice &mdash; connecting enterprise knowledge bases, structured and unstructured data sources, and domain-specific content so that AI outputs are grounded, accurate, and relevant to the client's business.
</p><p>You will design and validate systems against enterprise non-functional requirements across security, observability, governance, performance, and scalability.
</p><p>A core output of this is the production of tangible engineering and architecture deliverables. This means writing and owning software components &mdash; building, integrating, and testing AI system modules as a practitioner &mdash; alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams.
</p><p></p><p>You will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real-world problems, and build a foundation for growing into a lead or principal architect over time.</p><p><b>
THE WORK</b></p><ul><li>
Independently design, build, and deliver software components across the AI architecture &mdash; owning them end to end from design through implementation, integration, and testing as a hands-on practitioner</li><li>
Design and build AI agent architectures &mdash; including individual agents, their prompts, tools, and skills, multi-agent orchestration, and memory systems &mdash; making deliberate design pattern and technology choices</li><li>
Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery, validating them through hands-on prototyping</li><li>
Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise-grade reliability</li><li>
Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements</li><li>
Architect and implement foundation model integrations &mdash; selecting the right models, invocation patterns, and customization approaches (fine-tuning, RAG, custom integration) based on capability, cost, and performance trade-offs</li><li>
Design and build model adaptation and fine-tuning pipelines, applying working knowledge of transformer-based architectures to inform model selection and optimization</li><li>
Design and build the AI context layer &mdash; including context graph design and ingestion pipelines that parse, chunk, enrich, and index structured and unstructured enterprise content, and the retrieval components that ground AI outputs in the client's knowledge</li><li>
Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end-to-end RAG pipelines, applying integration patterns that connect to enterprise data sources</li><li>
Design and implement context assembly and memory components that manage prompts, context windows, and conversational state for grounded, accurate outputs</li><li>
Identify, design, and build reusable components and solution patterns that accelerate delivery and can be templated across engagements</li><li>
Design for cost efficiency and performance &mdash; optimizing model usage, inference patterns, caching, and resource utilization to meet target latency, throughput, and cost objectives</li><li>
Design, build, and validate systems against enterprise non-functional requirements &mdash; implementing guardrails, prompt-injection defenses, PII handling, and access controls for security and Responsible AI</li><li>
Build governance controls including versioning, audit logging, and lineage tracking, and produce the model documentation that keeps systems auditable</li><li>
Build observability into systems &mdash; logging, tracing, monitoring, alerting, and cost tracking &mdash; to ensure AI solutions remain healthy, performant, and scalable in production</li><li>
Produce detailed architecture artifacts &mdash; including architecture decision records (ADRs), architecture blueprints, design documents, agent orchestration and integration pattern specifications, component and data flow diagrams &mdash; that guide and enable broader engineering teams</li><li>
Continuously learn, evaluate, and apply new design patterns, frameworks, and technologies across the fast-evolving AI landscape, balancing innovation with enterprise-grade reliability</li><li>
Collaborate with cross-functional delivery teams &mdash; data engineers, ML engineers, and application developers &mdash; to translate requirements into concrete architecture decisions that meet stakeholder needs</li></ul></div>
<br>
<div><p><b>EDUCATION</b></p><ul><li>
Bachelor's Degree or equivalent</li></ul><p><b>
BASIC (REQUIRED) QUALIFICATION</b></p><ul><li>
Experience in designing &amp; deploying AI / ML solutions using at least one cloud vendor as an AI/ML architect.</li><li>
Experience in the Agentic, LLM and Generative AI space.</li><li>
Experience architecting and operationalizing LLM driven application architecture patterns.</li><li>
Expertise in coding with Python and engineering, machine learning, deep learning and NLP solutions and applications.</li></ul></div>

AI LLM Technology Architecture Assoc Manager

Yousef Al-Rajhi Group

<p><strong>Job Title: General Manager – Architecture &amp; Design (Principal Architect)</strong></p><p><strong>Location:</strong> Riyadh, Saudi Arabia<br /><strong>Employment Type:</strong> Full-Time</p><p> </p><p><strong>About the Role</strong></p><p>We are seeking an accomplished <strong>General Manager – Architecture &amp; Design</strong> to lead and drive the overall operations of a growing architecture and design consultancy. This leadership role requires an experienced architect with a strong business mindset who can oversee design excellence, project delivery, business development, client relationships, and team leadership.</p><p>The ideal candidate will have extensive experience delivering <strong>hospitality, F&amp;B, retail, commercial, and mixed-use projects</strong>, while successfully managing multidisciplinary teams and ensuring the highest standards of quality, innovation, and operational performance.</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the overall operations, strategic direction, and business performance of the Architecture &amp; Design division. </li><li>Develop and execute the company's business growth strategy, identifying new opportunities and expanding the client portfolio. </li><li>Oversee the planning, design, coordination, and successful delivery of multiple architectural and interior design projects. </li><li>Ensure all projects are delivered on time, within budget, and in accordance with client expectations and quality standards. </li><li>Lead multidisciplinary teams including Architects, Interior Designers, BIM Managers, BIM Architects, BIM Modelers, and Project Coordinators. </li><li>Establish and maintain design standards, technical excellence, and best practices across all projects. </li><li>Build and maintain strong relationships with clients, consultants, contractors, and key stakeholders. </li><li>Participate in client presentations, project negotiations, and executive-level meetings. </li><li>Review and approve concept designs, design development packages, construction documentation, and technical submissions. </li><li>Monitor project profitability, resource planning, budgets, and overall business performance. </li><li>Drive innovation by implementing new technologies, BIM methodologies, and sustainable design practices. </li><li>Mentor and develop department leaders while fostering a collaborative and high-performance culture. </li><li>Ensure compliance with local regulations, international design standards, health &amp; safety requirements, and company policies. </li></ul><p> </p><p><strong>Qualifications &amp; Experience</strong></p><ul><li>Bachelor's or Master's degree in Architecture. </li><li>Professional registration or architectural license is preferred. </li><li><strong>15+ years of progressive experience</strong> in Architecture &amp; Design, with at least <strong>7 years in a senior leadership role</strong>. </li><li>Proven experience leading architecture and design firms or large multidisciplinary design departments. </li><li>Strong portfolio of <strong>hospitality, F&amp;B, restaurants, cafés, retail, commercial, and mixed-use developments</strong>. </li><li>Extensive knowledge of architectural design, interior design coordination, BIM workflows, and project management. </li><li>Demonstrated success in business development, client acquisition, contract negotiations, and strategic planning. </li><li>Strong commercial acumen with experience managing P&amp;L, project budgets, and operational performance. </li><li>Proficiency in industry-standard software including <strong>Revit, AutoCAD, Navisworks, BIM 360, and Microsoft Office</strong>. </li><li>Excellent leadership, communication, presentation, and stakeholder management skills. </li><li>Experience working in the GCC, particularly Saudi Arabia, is highly preferred. </li></ul><p> </p><p><strong>Key Competencies</strong></p><ul><li>Executive Leadership </li><li>Strategic Planning &amp; Business Growth </li><li>Architectural Design Excellence </li><li>Retail &amp; Hospitality Design </li><li>F&amp;B &amp; Restaurant Development </li><li>BIM Management &amp; Digital Delivery </li><li>Project &amp; Portfolio Management </li><li>Client Relationship Management </li><li>Financial &amp; Commercial Management </li><li>Team Leadership &amp; Talent Development </li><li>Contract Negotiation </li><li>Quality Assurance &amp; Risk Management </li></ul><p> </p><p><strong>What We Offer</strong></p><ul><li>Competitive executive compensation package. </li><li>Opportunity to lead a growing Architecture &amp; Design organization. </li><li>Exposure to prestigious hospitality, retail, F&amp;B, and commercial developments. </li><li>Collaborative, innovative, and high-performance work environment. </li><li>Long-term career growth with opportunities to shape the future of the organization. </li></ul><p> </p><p><strong>Ideal Candidate Background</strong></p><p>Candidates with leadership experience from internationally recognized architecture and design consultancies are highly preferred, particularly those specializing in <strong>hospitality, F&amp;B, retail, mixed-use, and commercial developments</strong>. Experience working with premium brands, multi-site rollout projects, and large-scale design programs will be a significant advantage.</p>

General Manager – Architecture & Design (Principal Architect)

McGregor Boyall

<div>
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   Themed Entertainment &amp; Experiential Destinations
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   Dubai, UAE | Full-time
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   Design experiences, not just buildings.
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  We're hiring a Senior Design Architect for a design-build studio creating immersive themed environments, leisure attractions and experiential hospitality destinations across the Middle East and beyond. With design, BIM, visualisation, fabrication and construction under one roof, this studio takes stories from first sketch to opening day.
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   The role:
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  You'll own the creative vision &mdash; developing narratives, guest journeys and placemaking concepts, and carrying them through design development without losing the magic. You'll lead creative workshops, build compelling pitch decks, and present your ideas directly to clients, operators and senior stakeholders. This is a concept-first seat: if your favourite part of the job is the story behind the space, this is for you.
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   What you'll do:
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   Lead conceptual design for themed, leisure, hospitality and experiential projects
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   Craft design narratives, guest journeys and immersive placemaking strategies
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   Shape spatial experiences around sightlines, sequencing and moments of discovery
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   Present concepts confidently to clients and guide stakeholders through the creative process
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   Collaborate with BIM, visualisation and delivery teams to protect design intent through to construction
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   What you'll bring:
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   Degree in Architecture, Interior Architecture or Interior Design
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    Minimum 8 years' post-qualification experience
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   &mdash; this is a firm requirement
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   A portfolio that leads with concept, storytelling and spatial creativity
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   Experience in themed entertainment, attractions, museums, visitor experiences or experiential hospitality (highly preferred)
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   Strong presentation craft &mdash; InDesign/PowerPoint decks that sell a vision
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   Working knowledge of Revit and BIM workflows; SketchUp, Rhino, Enscape, Lumion and AI design tools welcome
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Architect - Theme Park

City and County of Denver

<div><h1 class="jobSectionHeader"><b>About Our Job</b></h1><p></p><p>
With competitive pay, great benefits, and endless opportunities, working for the City and County of Denver means seeing yourself working with purpose &mdash; for you, and those who benefit from your passion, skills and expertise. Join our diverse, inclusive and talented workforce of more than 11,000 team members who are at the heart of what makes Denver, Denver.</p><p></p><p>
We value diversity of ethnicity, race, socioeconomic status, sexual identity, gender, religion, language, ability, and experience and exemplify this through the makeup of our team at all levels. You'll be right at home here if you cultivate strong relationships and push yourself, your work, the people around you and Denver to the next level.</p><p></p><p><b>
What We Offer</b></p><p></p><p>
The City and County of Denver offers competitive pay commensurate with education and experience. New hires are typically brought into the organization between $124,937 - $170,000/year. We also offer generous benefits for full-time employees which include but are not limited to:</p><p></p><ul><li><p>
A guaranteed life-long monthly pension, once vested after 5 years of service</p></li><li><p>
457B Retirement Plan</p></li><li><p>
140 hours of PTO earned within first year + 12 paid holidays, 1 personal holiday, 1 wellness day, and 1 volunteer day per year</p></li><li><p>
Competitive medical, dental and vision plans effective within 1 month of start date</p></li></ul><p></p><p><b>
Location &amp; Schedule</b></p><p></p><p>
The City and County of Denver supports a hybrid workplace model. Employees work where needed, at a job site several days a week and off-site as needed. Employees must work within the state of Colorado on their off-site days.</p><p></p><p>
In this position you can expect to work on site up to 3 days per week at the Denver International Airport.
</p><p></p><p><b>Who We Are &amp; What You&rsquo;ll Do</b></p><p></p><p>
Since opening on Feb. 28, 1995, Denver International Airport (DEN) has become one of the world&rsquo;s busiest airports. In 2025, 82,427,962 passengers passed through DEN, making DEN 4th busiest airport in the U.S. and the world&rsquo;s 10th busiest airport. DEN is Colorado&rsquo;s primary economic engine, generating $47.2 billion in annual economic impact for the state. At DEN, we are committed to fostering a diverse, inclusive, and equitable workplace. We celebrate individuality and strive to keep Equity, Diversity, Inclusion &amp; Accessibility (EDIA) at the center of all that we do.
</p><p></p><p>As the IT Manager of Analytics and Solution Architecture, you will manage a group of IT architects at DEN. The Data Analytics and Architecture Office drives a data-driven culture by improving the trust and quality of data assets, and digital transformation to support critical metrics and analytics. This team leads data governance and architecture across all DEN divisions and enables innovative solutions through advanced analytics, digital transformation and AI.</p><p></p><p>
Specifically, as the IT Manager, you will:</p><p></p><ul><li><p>
Manage a team of IT architects and data professionals (4-8).</p></li><li><p>
Lead the team to identify IT patterns, implement data governance, and promote a data-driven organization.</p></li><li><p>
Work with platform SME, driving the evolution of the Enterprise Platforms for alignment with long-term road maps and technical standards.</p></li><li><p>
Work with technical architects and platform SMEs to develop roadmaps to improve core business capabilities.</p></li><li><p>
Oversee IT practices to enable business outcomes using ITSM, ITIL, BPMN<b>.</b></p></li><li><p>
Work with teams to deliver projects and efforts using Waterfall and Agile practices.</p></li><li><p>
Perform other duties as assigned.</p></li></ul><p></p><p><b>
What You&rsquo;ll Bring</b></p><p></p><p>
Our ideal candidate has some or all the following experience, skills, and characteristics:</p><p></p><ul><li><p>
Ability to manage technical professionals using industry agile and project management standards.</p></li><li><p>
Expertise in deploying modern architectural patterns&mdash;such as Data Mesh, Data Fabric and Event-Driven Design&mdash;to modernize analytics and implement Federated Governance across SaaS platforms.</p></li><li><p>
Proven ability to institutionalize enterprise-wide data governance, utilizing Microsoft Azure, Fabric and Purview for data assets while aligning IT service management via ServiceNow to drive consistent, compliant outcomes.</p></li><li><p>
Expertise in digital transformation with enterprise platforms and departmental applications.
</p></li></ul><p></p><p><b>Required Minimum Qualifications</b></p><p></p><ul><li><p>
Education requirement: Bachelor's Degree in Computer Science, Mathematics, Business, or a related field.</p></li><li><p>
Experience Requirement: Three (3) years of professional level information technology work at the type and level of a senior or full performance professional.</p></li><li><p>
Education/Experience Equivalency: One (1) year of the appropriate type and level of experience may be substituted for each required year of post-high school education. Additional appropriate education may be substituted for the minimum experience requirements.</p></li></ul><p></p><p><b>
Additional Information</b></p><p></p><p><i>
FBI Background Check:</i> FBI criminal background check is required for all positions at Denver International Airport (DEN). Employees are also required to report any felony convictions and/or moving violations to maintain this clearance and be eligible for continued employment. By position, a pre-employment physical/drug test may be required.</p><p></p><p><i>
Snow/Emergency Duties:</i> Denver International Airport is a 24/7/365 team operation. If weather conditions warrant or an emergency crisis occurs, all DEN employees can be required to work extended hours and/or shifts.</p><p></p><p><b>
Application Deadline</b></p><p></p><p>
This position is expected to stay open until Tuesday, July 21, 2026. Please submit your application as soon as possible and no later than 7/21/26 at 11:59 p.m. to ensure consideration.</p><p></p><h1 class="jobSectionHeader"><b>
About Everything Else</b></h1><p></p><p><b>
Job Profile</b></p>
CI2787 IT Manager<p>
To view the full job profile including position specifications, physical demands, and probationary period, click here.</p><p></p><p><b>
Position Type</b></p>
Unlimited<p></p><p><b>
Position Salary Range</b></p>
$124,937.00 - $212,393.00<p></p><p><b>
Target Pay</b></p>
$124,937 - $170,000/year<p></p><p><b>
Agency</b></p>
Denver International Airport<p></p><div><div><div><div><div><div><div><p><b>
Redeployment during Citywide Emergencies</b></p></div></div></div></div></div></div></div><div><div><div><div><div><div><div><p>
City and County of Denver employees may be re-deployed to work in other capacities in their own agencies or in other city agencies to support core functions of the city during a citywide emergency declared by the Mayor.</p></div></div></div></div></div></div></div><p></p><p><i>
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IT Manager of Data Analytics and Architecture – Denver International Airport

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Role Overview</div><br>
<div></div><br>
<div>An IAM Architect is responsible for designing, implementing, and governing identity and access management solutions that ensure secure access to enterprise systems, applications, and data. This role bridges business requirements, cybersecurity, and IT architecture to enforce robust identity governance and compliance.</div><br>
<div></div><br>
<div>Key Responsibilities</div><br>
<div></div><br>
<div>1. Architecture &amp; Design</div>
<ul><li>Design and develop enterprise IAM architecture aligned with security and business goals</li></ul>
<ul><li>Define identity lifecycle management (joiner, mover, leaver processes)</li></ul>
<ul><li>Architect solutions for:</li></ul>
<div>o Authentication (SSO, MFA, passwordless)</div>
<div>o Authorization (RBAC, ABAC)</div>
<div>o Federation (SAML, OAuth, OIDC)</div>
<ul><li>Develop zero trust security models for identity</li></ul><br>
<div></div><br>
<div>2. Implementation &amp; Integration</div>
<ul><li>Lead implementation of IAM platforms such as:</li></ul>
<div>o Azure AD / Entra ID</div>
<div>o Okta</div>
<div>o SailPoint</div>
<div>o CyberArk</div>
<div>o Ping Identity</div>
<ul><li>Integrate IAM systems with:</li></ul>
<div>o Cloud platforms (AWS, Azure, GCP)</div>
<div>o On-prem systems (Active Directory, LDAP)</div>
<div>o Enterprise applications (SAP, Salesforce, Workday)</div>
<ul><li>Enable API security and identity federation</li></ul><br>
<div></div><br>
<div>3. Governance, Risk &amp; Compliance</div>
<ul><li>Establish Identity Governance &amp; Administration (IGA) frameworks</li></ul>
<ul><li>Design role models and access certification campaigns</li></ul>
<ul><li>Ensure compliance with standards:</li></ul>
<div>o SOX, GDPR, HIPAA, ISO 27001</div>
<ul><li>Implement audit logging, monitoring, and reporting</li></ul><br>
<div></div><br>
<div>4. Security &amp; Risk Management</div>
<ul><li>Enforce least privilege &amp; segregation of duties (SoD)</li></ul>
<ul><li>Design solutions to mitigate identity-based threats</li></ul>
<ul><li>Integrate IAM with:</li></ul>
<div>o SIEM (e.g., Splunk, Sentinel)</div>
<div>o PAM (Privileged Access Management)</div>
<ul><li>Conduct risk assessments and threat modeling</li></ul><br>
<div></div><br>
<div>5. Strategy &amp; Roadmap</div>
<ul><li>Define IAM strategy and technology roadmap</li></ul>
<ul><li>Evaluate and recommend IAM tools and platforms</li></ul>
<ul><li>Drive cloud identity transformation initiatives</li></ul>
<ul><li>Promote adoption of passwordless and Zero Trust frameworks</li></ul><br>
<div></div><br>
<div>6. Stakeholder Collaboration</div>
<ul><li>Work with:</li></ul>
<div>o Security teams</div>
<div>o IT operations</div>
<div>o Application owners</div>
<div>o Compliance and audit teams</div>
<ul><li>Provide technical leadership and mentorship to IAM engineers</li></ul>
<ul><li>Communicate complex IAM concepts to non-technical stakeholders</li></ul><br>
<div></div><br>
<div>TCS Employee Benefits Summary:</div>
<div>Discretionary Annual Incentive.</div>
<div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</div>
<div>Family Support: Maternal &amp; Parental Leaves.</div>
<div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</div>
<div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</div>
<div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</div>
<div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, Colleg e Fund, Student Loan Refinancing.</div><br>
<div></div><br>
<div>Salary Range: $120,000- 130,000 a year</div>
</div></div></div><div><div><div>Location
</div><div>Alpharetta, GA
</div></div><div><div>Job Function
</div><div>TECHNOLOGY
</div></div><div><div>Role
</div><div>Technical Lead
</div></div><div><div>Job Id
</div><div>418365
</div></div><div><div>Desired Skills
</div><div>Azure | Risk Management
</div></div><div><div>Salary Range
</div><div>$120,000-$130,000 a year
</div></div></div><div>Desired Candidate Profile
</div><div><div>Qualifications : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

IAM Architect

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