data center architect

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical infrastructure, ensuring seamless operations that support millions of customers worldwide.<br>
The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third-party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support AWS.
<br>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
<br>
NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role.
<br>
NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position.<br>
<br>
Key job responsibilities<br>
<ul><li>Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.</li><li>Perform root cause analysis of equipment failures and troubleshooting of facility within internal Service Level Agreements (SLA).</li><li>Provide training and guidance to Engineering Operations Technicians and are responsible for working with Facility Manager (FM) to set team culture.</li><li>Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams</li><li>May assist in the building out of new facilities and assist in projects to increase current facility efficiency</li><li>Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls.</li><li>Communicate complex technical information to a non-technical audience.</li><li>Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency</li><li>Ensure all safety procedures are adhered to by vendor and Amazon staff</li><li>Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility of operations and maintenance.</li><li>Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day-to-day tasks</li></ul><br>
Physical Requirements:<br>
<ul><li>Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodation:</li><li>Regularly lift and/or move up to 39 pounds independently</li><li>Participate in group lifts for 40+ pounds</li><li>Maintain balance and perform construction tasks while on a ladder</li><li>Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position</li><li>Work in an environment requiring provided ear protection</li></ul><br>
Essential Requirements:
<br>
<ul><li>Ability to travel to or commute between data center locations as needed
</li><li>Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational
</li><li>Travel frequency will vary based on business needs and operational status of assigned facility</li></ul>
Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of electrical and mechanical facilities maintenance, or 3+ years of electrical facilities maintenance and 2+ years of mechanical facilities maintenance experience</li><li>Experience reading and writing procedures, technical documents, and engineering drawings</li><li>3+ years of Microsoft Office products and applications experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in data center engineering or operations</li><li>Experience in construction or project management</li><li>Experience leading technical teams through daily operations and maintenance evolutions</li><li>Can work in an environment that involves walking, stooping, bending, and climbing to access equipment</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, TX, Wilmer - 96,000.00 - 166,300.00 USD annually</div><p></p>

Data Center Chief Engineer

Jacobs

Location
<br>Bur Dubai, All AE Regions, United Arab Emirates
<br><br>
Capabilities
<br>Electrical
<br><br>
Office Setup
<br>Hybrid
<br><br>
Job ID
<br>#41424
<br>Market
<br>Cities & Places
<br><br>
At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.
<br><br>
Your impact
<br><br>
Jacobs is seeking an experienced Principal Electrical Engineer – Design with a strong background in data center projects to be based in Dubai. In this role, you will play a key role in shaping the next generation of data centers across the region. The ideal candidate will bring deep technical expertise in electrical systems design, leadership capability, and a proven track record delivering complex, mission‑critical facilities. You will also lead electrical design packages, coordinate multidisciplinary interfaces, and ensure compliance with global and regional standards. You will work as part of a collaborative, multidisciplinary team delivering high‑performance, resilient, and sustainable data center solutions for our clients.
<br><br>
<b>What You’ll Do:</b><br>
Lead the electrical design for data center projects from concept through detailed design, with regional and international teams to delivery energy efficient solutions to the Client.
<br>Develop and review electrical systems including MV/LV distribution, UPS systems, generators, earthing, lighting, and critical power infrastructure.
<br>Ensure compliance with local authority regulations, LEED, Uptime Institute and Jacobs’ internal governance frameworks.
<br>Coordinate closely with mechanical, ICT, structural, fire protection, architecture, and project management teams to deliver integrated design solutions.
<br>Lead design reviews, technical workshops, and client presentations, representing Jacobs with professionalism and technical authority.
<br>Provide mentorship and technical guidance to junior and mid‑level engineers, fostering a culture of learning and innovation.
<br>Support tender evaluations, technical reports, and design‑build contractor submissions.
<br>Drive continuous improvement, digital delivery, and best‑practice adoption across the electrical discipline.
<br><br>
Here's what you'll need
<br><br>
Bachelor’s degree in Electrical Engineering (Master’s preferred).
<br>10+ years of electrical design experience, in data center projects in the ME region.
<br>Strong understanding of data center electrical systems, redundancy topologies (N, N+1, 2N), and mission‑critical design principles.
<br>Experience delivering projects in the KSA, UAE or wider GCC region.
<br>Proficiency in ETAP, Dialux, AutoCAD, Revit, and digital design workflows.
<br>Strong knowledge of IEC, NFPA, IEEE, and other relevant international standards.
<br>Demonstrated leadership experience managing design packages or engineering teams.
<br>Excellent communication, stakeholder engagement, and problem‑solving skills.
<br><br>
Experience with hyperscale or colocation data center clients.
<br>Familiarity with BIM workflows and digital delivery platforms.
<br>Experience working in multidisciplinary global delivery models.
<br><br>
From our inclusive employee networks to our positive mental health champions – we’re committed to driving a culture of caring where you can be you. Joining Jacobs not only connects you locally but globally - and together, our diverse perspectives and unique backgrounds power our collective strength. We collaborate and share! By supporting one another, we all succeed.
<br><br>
With safety and flexibility always top of mind, we’ve gone beyond traditional ways of working so you have the support, means and space to maximize your potential. You’ll uncover flexible working arrangements, benefits and opportunities to do good too – from participating in our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place.
<br><br>
No matter what drives you, you’ll discover how you can cultivate, nurture and achieve your goals – all at a single global company.
<br><br>
We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.
<br><br>
Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support .

Principal Electrical Engineer - Data Center

Blaize

<div><p><b>Director, Solutions Architecture &amp; Pre-Sales &mdash; AI Infrastructure</b></p>
<p><b>UK Remote</b></p><br>
<div></div>
<div><b>About Blaize</b></div>
<div></div><div><div>Blaize (Nasdaq: BZAI) builds a programmable AI platform for inference in real-world environments. At its core, the Blaize Graph Streaming Processor (GSP) is a purpose-built, energy-efficient architecture for real-world AI inference, combined with GPU in a hybrid AI infrastructure that runs across the edge, cloud, and datacenter. Our platform powers computer vision, multimodal AI, and sensor-driven applications across smart cities, industrial automation, telecommunications, retail, logistics, healthcare, automotive, and defense.</div>
<div></div><div>Blaize is expanding from edge AI hardware into a full platform that combines its hardware systems with Blaize AI Services, the software and services layer that delivers deployable AI solutions for enterprises, governments, and cloud service providers worldwide. By combining differentiated computing architecture with scalable AI Services, we help organizations deploy intelligence where decisions matter most.</div>
<br>
To learn more, visit www.blaize.com or follow us on LinkedIn at @blaizeinc.</div>
<div></div><div><b>Role Overview</b></div>
<div><p>We are looking for a technically deep, commercially sharp Solutions Architect to own the technical pre-sales and solution design motion for Blaize's AI infrastructure across data center and enterprise deployments. This is a high-visibility, high-impact role at the intersection of AI silicon, software platforms, and go-to-market &mdash; working directly with cloud providers, system integrators, OEM partners, and enterprise customers to architect and evangelize Blaize-powered AI deployments.</p>
<p>You will be the technical face of Blaize in customer engagements, owning everything from initial solution design through POC execution, reference architecture development, and partner enablement.</p>
<p><b>Key Responsibilities</b></p>
<p><i>Technical Pre-Sales &amp; Solution Design</i></p>
<ul><li>Design and present AI infrastructure solutions leveraging GPU, CPU, DPU, NPU, and Blaize's software platform for data center and enterprise deployments</li>
<li>Lead technical discovery, solution scoping, and architecture reviews with cloud providers, system integrators, and enterprise customers</li>
<li>Own POC execution and drive technical evaluations to successful outcomes</li>
</ul>
<p><i>AI Workload Architecture</i></p>
<ul><li>Map customer AI workloads &mdash; including transformer and CNN-based models &mdash; onto Blaize and complementary hardware/software stacks</li>
<li>Demonstrate total cost of ownership (TCO) advantages of Blaize architectures, including hybrid GPU/Blaize configurations in data center environments</li>
<li>Translate complex workload requirements into concrete, deployable architectures</li>
</ul>
<p><i>Cloud &amp; Hybrid Integration</i></p>
<ul><li>Architect production deployments of Blaize's AI Services Platform for cloud providers, system integrators, and enterprises</li>
<li>Enable customers to deploy business-outcome applications without building the underlying AI stack from scratch</li>
<li>Evangelize Blaize's hybrid edge-to-cloud approach across both hardware and software layers</li>
</ul>
<p><i>Go-to-Market Enablement</i></p>
<ul><li>Develop reference architectures, whitepapers, and technical collateral that accelerate customer adoption</li>
<li>Serve as a trusted technical advisor to data center and enterprise customers and their integration partners</li>
<li>Support the sales team with technical positioning, competitive differentiation, and deal strategy</li>
</ul>
<p><i>Ecosystem &amp; Partner Development</i></p>
<ul><li>Collaborate with OEM and channel partners to scale co-branded AI edge data center deployments globally</li>
<li>Build and maintain strong technical relationships across the cloud and SI partner ecosystem</li>
<li>Represent Blaize at industry events, conferences, and partner summits</li>
</ul>
<p><i>Cross-functional Leadership</i></p>
<ul><li>Bridge product, engineering, and sales to ensure the Blaize platform roadmap reflects real customer and market needs</li>
<li>Provide structured field feedback to influence product prioritization and roadmap decisions</li>
<li>Mentor and support junior members of the solutions and pre-sales team</li>
</ul>
<p><b>Qualifications</b></p>
<ul><li>8&ndash;12 years of experience in solutions architecture, pre-sales engineering, or AI infrastructure roles</li>
<li>Deep technical understanding of AI acceleration technologies &mdash; GPU, CPU, DPU, NPU &mdash; and data center deployment architectures</li>
<li>Hands-on experience with AI/ML frameworks and workload types including transformer and CNN-based models</li>
<li>Experience working with cloud providers (AWS, Azure, GCP) and/or system integrators in a technical capacity</li>
<li>Proven ability to lead customer-facing POCs and translate technical value into business outcomes</li>
<li>Strong communication and presentation skills &mdash; equally comfortable in a whiteboard session with engineers and a business review with executives</li>
<li>Experience with edge AI, hybrid cloud architectures, or AI inference platforms is a strong plus</li>
<li>Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field; advanced degree preferred</li>
</ul>
<p><b>Leadership Profile</b></p>
<ul><li>Entrepreneurial and self-directed &mdash; comfortable operating with ambiguity in a fast-moving environment</li>
<li>Customer-obsessed with strong commercial instincts</li>
<li>Collaborative across engineering, product, and sales without being slowed down by org boundaries</li>
<li>Credible, confident technical communicator who earns trust quickly</li>
</ul><div>Blaize is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity, and gender expression of our applicants and employees, and we honour requests for preferred pronouns. It is our policy to comply with all applicable national, state, and local laws pertaining to non-discrimination and equal opportunity.</div></div></div>

Director, Solutions Architecture & Pre-Sales — AI Infrastructure

Eaton

<div><div>Join Our Team at Eaton: Empowering Tomorrow, Today!
</div><div></div><div>Dubai serves as a strategic hub for Eaton&rsquo;s Middle East operations, bringing together commercial, engineering, manufacturing, and support teams within a globally connected business environment. Building on more than 40 years in the region, Eaton recently announced the development of a new sustainable campus in Dubai, reinforcing our long ‑term investment in growth, collaboration, and capability building.
</div><div></div><div><b>About Us:
</b></div><div>Eaton is a power management company where we provide energy-efficient solutions that help our customers effectively manage electrical, hydraulic and mechanical power more efficiently, safely and sustainably. Eaton is dedicated to improving the quality of life and the environment through the use of power management technology and services. Eaton has approximately 96,000 employees and sells products to customers in more than 175 countries.<br>
</div><div></div><div><p>We are currently looking for a <b>DC BIM Technician Engineer </b>to join <b>Eaton&rsquo;s Data Centre Segment </b>and support the development of high‑quality digital design solutions.
</p><p>In this role, you will contribute to the creation and coordination of <b>BIM models and workflows </b>that enhance project execution, design accuracy, and collaboration across engineering teams. You will work closely with <b>BIM Managers, Application Engineers, and Product Development teams </b>, ensuring digital deliverables are aligned with Eaton&rsquo;s standards and best practices.<br>
</p></div><p></p><div><div><div><h2 class="jobSectionHeader"><b>What you&rsquo;ll do:<br>
</b></h2></div><div><p><br>
<b>BIM Model Development &amp; Coordination:
</b></p><ul><li>Create and maintain accurate BIM models using tools such as Revit, AutoCAD, NavisWorks &amp; ACC.
</li><li>Support the integration of Eaton products into BIM object libraries for data centre projects.
</li><li>Collaborate with engineering and design teams to ensure models reflect current specifications and project requirements.
</li>Assist in clash detection, model coordination, and issue resolution across disciplines.<br>
<li>
</li></ul><p></p><p><b>Design Support &amp; Documentation
</b></p><ul><li>Generate 2D drawings and 3D visualizations from BIM models to support project documentation and client presentations.
</li><li>Ensure all deliverables meet Eaton&rsquo;s BIM standards and project-specific requirements.
</li>Maintain version control and documentation of BIM files throughout the project lifecycle.<br>
<li>
</li></ul><p></p><p><b>Process Optimization &amp; Digital Tools
</b></p><ul><li>Support the implementation of BIM workflows that improve design efficiency and collaboration.
</li><li>Assist in testing and deploying new BIM tools and digital solutions tailored to data centre applications.
</li>Contribute to the continuous improvement of BIM processes by identifying opportunities for automation and standardization.<br>
<li>
</li></ul><p></p><p><b>Quality Assurance &amp; Compliance
</b></p><ul><li>Review models for accuracy, completeness, and compliance with BIM Execution Plans (BEPs).
</li><li>Support quality control efforts by flagging inconsistencies and coordinating corrections with relevant teams.
</li>Ensure adherence to Eaton&rsquo;s governance framework and industry best practices.<br>
<li>
</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>Qualifications:
</b></h2></div><div><ul><li>Bachelor of Electrical/Mechanical engineering Degree, or a related technical field.
</li>2-3 years of experience in BIM modelling, preferably in data centre or industrial projects.<br>
<li>
</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>Skills:
</b></h2></div><div><ul><li>Proficiency in AutoCAD, Revit, and NavisWorks is essential. Familiarity with ACC would be a big advantage.
</li><li>Familiarity with BIM standards, workflows, and object library development.
</li><li>Strong attention to detail, organizational skills, and ability to work in a fast-paced environment.
</li><li>Effective communicator and team player with a proactive approach to problem-solving.
</li><li>Fluent in English.
</li></ul><p>#LI-SA2
</p></div></div></div><div><b>Living and Working in Dubai:
</b></div><div><p>Dubai is an internationally connected city that offers strong professional opportunities within a truly global environment. Living and working in Dubai means being part of a diverse, forward‑looking business community, supported by modern infrastructure, excellent connectivity, and a well‑established expatriate ecosystem.
</p><p>At Eaton, employees based in Dubai are part of a stable, well‑governed organization that brings together global teams, clear ways of working, and the flexibility needed to support both performance and long‑term career development.<br>
</p></div><p></p><div><b>Ready to make a difference? Join Eaton&rsquo;s Dubai Team and be part of a company shaping the future of sustainable manufacturing and power management!<br>
</b></div><p></p><p>We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.</p></div>

Data Center BIM Technician Engineer

Accenture

<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

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.
<br>
<br>
As a Lead Infrastructure Engineer at JPMorganChase within the Employee Platforms Team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.
</p><p><b>Job Responsibilities</b></p><ul><li>
Applies technical expertise and problem-solving methodologies to projects of moderate scope and executes creative solutions for design, development, and technical troubleshooting for problems of moderate complexity</li><li>
Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
</li><li>Drives a workstream or project consisting of one or more infrastructure engineering technologies and works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes</li><li>
Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions</li><li>
Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
</li></ul><p></p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
</li><li>Deep knowledge of one or more areas of infrastructure engineering such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience or performance assessments</li><li>
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
</li><li>Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
</li><li>Hands-on expertise on Cisco, Call Manager, Connect Center Express etc</li><li>
Strong understanding of VoIP protocols (SIP, RTP), API integration, telephony systems, and call capture workflows.
</li><li>Deep knowledge of resiliency patterns, high availability, load balancing, and scalable system design.</li><li>
Deep knowledge of one specific infrastructure technology and scripting languages</li><li>
Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
</li></ul><p></p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Network certified Solutions Architect
</li><li>Experience in ZoomPhone or SBC's</li><li>
Knowledge on infrastructure technology and scripting languages (e.g., Scripting, Python, etc.)</li><li>
Knowledge on Cloud infrastructure like AWS or Azure</li></ul>
<b>ABOUT US</b></div>

Senior Lead Infrastructure Engineer - ( Cisco, Call Manager, Connect Center)

Deloitte

<div>As organizations adopt generative AI, securing how AI agents, models, and automated workflows access enterprise systems and data has become a core engineering challenge. As an Identity &amp; Gen AI Engineer, you will build generative AI solutions with identity, access, and trust engineered in from the start, securing both human and non-human identities and governing how AI agents and GenAI platforms reach data and downstream systems. This role focuses on hands-on engineering, integration, and continuous enhancement of AI solutions in which identity and access controls are a first-class concern.<br>
<br>
<b>Work you'll do</b><br>
<br>
As an Identity &amp; Gen AI Engineer on the Identity and Access Management team, you will be responsible for...<br>
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<ul><li>Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems.</li></ul><br>
<ul><li>Engineer authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities operating across enterprise and cloud environments.</li></ul><br>
<ul><li>Develop guardrails for agentic workflows, including scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.</li></ul><br>
<ul><li>Implement logging, monitoring, and governance that provide traceability and accountability for AI system actions.</li></ul><br>
<ul><li>Collaborate with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and operations.</li></ul><br>
<ul><li>Create and maintain reference architectures, reusable patterns, and technical documentation for building and securing AI systems.</li></ul><br>
A successful candidate would possess these skills:<br>
<ul><li>
Ability to work independently and collaborate as part of a team</li><li>
Effective written and verbal communication skills</li><li>
Meticulous attention to detail and quality of work product</li><li>
Ability to build and sustain professional relationships</li><li>
Ability to lead projects or workstreams</li><li>
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment</li><li>
Strong interpersonal skills and professional demeanor</li><li>
Ability to meet deadlines</li><li>
Ability to provide clear guidance to others</li></ul><br>
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The team</b><br>
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Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.<br>
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Our Digital Trust &amp; Privacy offering enables trust and safety of online communications and digital products, protecting users, consumers, and patients from harm. Enables clients to provide consumer confidence in knowing with whom they are dealing and ensuring the integrity of access to data.<br>
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This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.<br>
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The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.<br>
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<b>Qualifications</b><br>
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Required:<br>
<ul><li>
Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a similar technical field</li><li>
Ability to work onsite up to 5 days a week.</li><li>
3+ years of software engineering experience with Python or a comparable language</li><li>
1+ year of hands-on experience building, integrating, or deploying generative AI solutions such as large language model (LLM) applications, retrieval-augmented generation (RAG), or AI agents, including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor</li><li>
Working knowledge of identity and access management concepts and protocols, including authentication, authorization, single sign-on (SSO), and standards such as OpenID Connect (OIDC), Security Assertion Markup Language (SAML), OAuth, and JSON Web Token (JWT)</li><li>
Ability to travel 15%, on average, based on the work you do and the clients and industries/sectors you serve.</li><li>
Ability to obtain and maintain the necessary security clearance.
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.</li><li>
Delivery Center Location &amp; Travel Requirements:<ul><li>
Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg) or Geo-Hub locations (Atlanta, Charlotte, Dallas, Houston, and Philadelphia)</li><li>
Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location</li><li>
Travel Requirement: Maximum of 10% overnight travel for client or project purposes</li><li>
Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance</li></ul></li></ul><br>
Preferred:<br>
<ul><li>
Experience deploying generative AI solutions to production environments</li><li>
Hands-on experience with identity and access management platforms such as SailPoint, Okta, or Microsoft Entra ID</li><li>
Experience securing non-human or machine identities, service accounts, secrets, and credentials using tools such as HashiCorp Vault or CyberArk</li><li>
Experience with AI agent frameworks and protocols such as LangChain, LangGraph, or Model Context Protocol (MCP)</li><li>
Experience with fine-grained authorization or policy-as-code using tools such as Open Policy Agent (OPA), Cedar, or OpenFGA</li><li>
Familiarity with AI and LLM security risks such as the OWASP Top 10 for LLM Applications, prompt injection, and excessive agency</li><li>
Experience applying AI governance and risk frameworks such as the NIST AI Risk Management Framework (AI RMF)</li><li>
2+ years of experience building or deploying workloads in cloud environments such as Amazon Web Services (AWS) and Microsoft Azure</li><li>
Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or a cloud engineering certification such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect</li><li>
1+ year of experience supporting federal government environments</li><li>
1+ year of experience with infrastructure-as-code or automation technologies such as Terraform or Ansible</li></ul></div>

Delivery Senior Consultant, Software Engineering Solutions, Identity & Gen AI Engineer

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