ai systems engineer

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
About Us
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.
As a Qualcomm Datacenter AI Systems Engineer focused on AI Inference Platforms and Competitive Analysis, you will evaluate, benchmark, optimize, and validate end-to-end AI inference solutions built on Qualcomm AI accelerators. You will analyze real-world customer deployments, assess competitive platforms, and develop fact-based insights on performance, scalability, ecosystem readiness, and operational simplicity across modern GenAI workloads including LLMs, VLMs, RAG, and agentic applications.
About the role
In this role, you will work across hardware, software, frameworks, and deployment architectures to identify differentiators, gaps, and opportunities that shape Qualcomm's AI platform roadmap and customer engagement strategy. You will collaborate closely with architecture, product, systems, customer engineering, business development, and ecosystem teams to establish Qualcomm AI accelerators as a leading platform for enterprise AI inference deployments.
Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in engineering, computer science, or Data Science with 8+ years of experience
</li><li>Master's degree in Engineering, Computer Science, Data Science or related field and 4+ year of related work experience.
</li></ul>OR
<ul><li>PhD in Engineering, Computer Science, or related field and 4+ years of Experience.
</li></ul>Required Skills:
<ul><li>Strong proficiency in Python and common AI/ML frameworks such as PyTorch, TensorFlow, or ONNX.
</li><li>Solid understanding of ML model development, deployment, and AI inference concepts for datacenter workloads.
</li><li>Strong foundation in system performance profiling, benchmarking, parallel computing, and workload analysis.
</li><li>Working knowledge of Linux-based development, containerized deployment, and cloud-native infrastructure concepts.
</li><li>Strong analytical, communication, and cross-functional collaboration skills with the ability to summarize technical findings clearly.
</li></ul>Preferred Qualifications:
<ul><li>Master's or PhD degree in Engineering, Computer Science, Information Systems, Electrical Engineering, Physics, or a related technical field with 4+ years of experience.
</li><li>Strong understanding of GenAI and enterprise inference workloads, including LLMs, VLMs/LVMs, embeddings, diffusion models, RAG pipelines, agents, and multi-turn application patterns.
</li><li>Hands-on experience evaluating AI accelerator platforms and deployment ecosystems, including Qualcomm AI inference accelerators and competitive platforms such as NVIDIA and AMD.
</li><li>Experience with production inference frameworks and serving stacks such as vLLM, Triton Inference Server, TensorRT-LLM, SGLang, KServe, Ray Serve, TorchServe, or equivalent model-serving technologies.
</li><li>Deep understanding of inference performance fundamentals, including prefill/decode behavior, KV-cache utilization, batching, scheduling, quantization, memory bandwidth, latency, throughput, TTFT, TPOT, and scaling efficiency.
</li><li>Experience designing and executing fact-based competitive benchmarks across single-node and multi-node deployments using representative customer workloads, model configurations, and deployment patterns.
</li><li>Knowledge of distributed inference architectures, including tensor parallelism, pipeline parallelism, expert parallelism/MoE serving, disaggregated serving, routing, autoscaling, and cluster-level orchestration.
</li><li>Experience with containerized and cloud-native deployment workflows using Docker, Kubernetes, Helm, GitOps, CI/CD, observability stacks, and infrastructure automation.
</li><li>Ability to assess ecosystem readiness, operational simplicity, tooling maturity, model onboarding complexity, reference architectures, observability, supportability, and deployment documentation quality.
</li><li>Background in compiler/runtime optimization, graph lowering, operator fusion, kernel optimization, or hardware-aware model optimization for ML workloads is a plus.
</li><li>Experience conducting technical competitive analysis across AI hardware platforms, frameworks, software ecosystems, deployment architectures, and customer workflows.
</li><li>Experience building customer-facing technical collateral, competitive positioning, deployment guides, benchmark reports, executive briefings, and gap analysis for AI infrastructure products.
</li><li>Strong cross-functional collaboration skills with demonstrated ability to work across product, architecture, engineering, customer engineering, business development, and ecosystem partner teams in a matrixed organization.
</li></ul>Principal Duties and Responsibilities will include:
<ul><li>End-to-end competitive analysis for Qualcomm AI inference accelerators across hardware, software, model-serving frameworks, deployment workflows, and customer-facing GenAI inference solutions.
</li><li>Evaluate real customer deployment patterns, including LLM/VLM serving, RAG, agentic workflows, embedding services, multi-model applications, and enterprise inference pipelines, to identify where Qualcomm leads, is at parity, or has gaps.
</li><li>Develop objective benchmark methodologies and execute performance studies covering latency, TTFT, TPOT, throughput, tokens/sec/user, concurrency, utilization, power efficiency, cost efficiency, and single-node and multi-node scaling.
</li><li>Compare Qualcomm solutions against competitive platforms such as NVIDIA and AMD across deployment maturity, model coverage, framework support, ecosystem readiness, operational simplicity, and total solution capability.
</li><li>Analyze inference architecture tradeoffs involving vLLM, Triton Inference Server, KServe, Ray Serve, Kubernetes, orchestration layers, KV-cache management, batching strategies, quantization, and distributed serving patterns.
</li><li>Drive model onboarding prioritization by studying competitive usage, customer demand, model popularity, framework adoption, and readiness gaps across open-source and enterprise GenAI workloads.
</li><li>Build and maintain reference architectures, deployment playbooks, sizing guidance, reproducible benchmark recipes, and customer-ready solution blueprints for Qualcomm AI inference platforms.
</li><li>Partner with architecture, compiler, runtime, framework, systems, and product teams to translate competitive findings into product requirements, roadmap priorities, optimization opportunities, and ecosystem investments.
</li><li>Perform system-level debugging and root-cause analysis across model, framework, runtime, driver, hardware, networking, memory, and orchestration layers to explain performance or deployment gaps.
</li><li>Create clear, fact-based competitive positioning, leadership readouts, technical reports, and customer-facing collateral that communicate differentiators, risks, gaps, and recommended actions.
</li><li>Collaborate with customer engineering, business development, sales, and partner teams to support customer evaluations, proof-of-concepts, competitive bakeoffs, and deployment activities.
</li><li>Stay current with the evolving AI inference ecosystem, including emerging models, serving frameworks, accelerator platforms, open-source projects, benchmarking practices, and enterprise deployment trends.
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

Data Center AI Systems Engineer (Competitive Analysis) - Riyadh, KSA

NVIDIA

<div>
 NVIDIA's Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and integrate innovative AI solutions into the design and automation infrastructure that powers our chips. Every CPU, GPU, and Tegra SoC NVIDIA has shipped in the past four years passed through our toolchain on its way to production &mdash; over 200 product SKUs were optimized during the Blackwell generation alone. Now we're rebuilding that toolchain around AI, and we're looking for the engineer to lead that charge. In this role, you will architect and implement solutions that enhance the efficiency, scalability, and intelligence of our workflows, driving initiatives from concept to deployment. If you combine deep technical expertise with a hands-on approach and an aim to push the boundaries of what's possible, this is your opportunity. At NVIDIA, we strive for perfection, encourage innovation, and provide opportunities to explore new ways to succeed!
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 LLM-Powered Validation Pipelines: Design and deploy AI systems that make post-silicon validation faster, smarter, and more scalable across semiconductor environments. You're not maintaining what exists, you're building what comes next.
 </li>
 <li>
 Cross-Team AI Integration: Work directly with multi-functional engineering teams across the organization to identify where AI can eliminate friction, and then build the solution. Your output will be felt across teams, products, and generations of silicon.
 </li>
 <li>
 Technology Scouting &amp; Evaluation: Evaluate emerging AI frameworks and architectures before the rest of the industry catches on. Be the person who spots what's worth adopting, and makes the case for it.
 </li>
 <li>
 Impact Measurement &amp; Continuous Improvement: Build the data systems that prove what's working. Establish clear, quantitative indicators of AI impact, close performance gaps, and drive iteration across the org to turn insight into lasting improvement!
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 BS, MS, or PhD or equivalent experience in CS, EE, CE, or a related field, with 5+ years of hands-on experience building and deploying ML/AI systems or data-intensive backend services.
 </li>
 <li>
 2+ years of direct Applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system end-to-end &mdash; from prototype through production deployment.
 </li>
 <li>
 Strong Python skills and proficiency in at least one static language such as C, C++, C#, Java, or Scala.
 </li>
 <li>
 Experience working within a silicon development environment, with exposure to chip and system characterization methodologies, process variation, statistical error rates, or advanced timing/power analysis.
 </li>
 <li>
 Hands-on experience with silicon bring-up, characterization, or lab debug using standard tools (e.g., oscilloscopes, multimeters, logic analyzers).
 </li>
 <li>
 Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and a solid understanding of firmware/driver structures and hardware interaction.
 </li>
 <li>
 Proven track record to balance multiple concurrent projects and apply excellent problem-solving, communication, and teamwork skills.
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 Experience debugging complex system-level issues involving HW/SW interactions, including leadership or ownership in driving root cause analysis of silicon or feature-level issues.
 </li>
 <li>
 Ability to translate innovative AI research into practical, high-impact production tools.
 </li>
 <li>
 Familiarity with modern AI technologies and methodologies for crafting and launching LLMs.
 </li>
 <li>
 Experience with building and deploying orchestration agents managing hundreds to thousands of tools.
 </li>
 <li>
 Demonstrated experience with deep learning frameworks like PyTorch or TensorFlow, and hands-on experience with agentic and orchestration tools including NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n.
 
 
 </li>
 </ul>
 Our team is at the forefront of silicon innovation, advancing groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are widely considered one of the technology industry&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
 
 
 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
 
 
 You will also be eligible for equity and benefits.
 
 
 Applications for this job will be accepted at least until August 1, 2026.
 
 
 This posting is for an existing vacancy.
 
 
 NVIDIA uses AI tools in its recruiting processes.
 
 
 NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
 
 
 , , JR2018179
 
 
</div>

Applied AI Engineer

Easton Services 

Founding AI EngineerWe're building AI systems for commercial HVAC service &mdash; an industry that runs on tribal knowledge, paper trails, and senior technicians who can't be cloned.We have an enterprise anchor customer with a decade of operational history, integrations already in production, and a commercial HVAC service business in Seattle we own as our R&amp;D environment. Whatever you build, you can deploy it Monday morning to real technicians who'll tell you exactly what's helpful and what isn't. The founders have built and exited before; an experienced team owns backend, data, and integrations. Your job is the intelligence on top.The roleYou'd own the AI layer end to end &mdash; agents, orchestration, the workflows that wrap them, and the measurement that proves they work. Our AI already works in demos; you make it work as a product: correct, consistent, and trustworthy turn after turn.In your first six months, you'd likely:<ul><li>Ship the next generation of our field-facing AI assistant &mdash; voice-first, decision-trace-capturing, embedded in the technician's day</li><li>Build the agent and orchestration framework for multi-step workflows across diagnostics, planning, and field execution</li><li>Stand up the eval, retrieval, and observability infrastructure that lets us change agent behavior without regressing</li></ul>You<ul><li>Senior/Staff builder who's shipped LLM features to production backed by evals &mdash; not vibe-tuning. You treat a red eval like a red build</li><li>You've built multi-step agentic systems that interact with external tools and stay working; you know when to use one model call vs. an agent vs. a deterministic workflow, and can defend the choice</li><li>Strong on RAG, tool calling, structured output, and the infrastructure that makes them reliable &mdash; evals, observability, grounding, failure containment</li><li>You ship a first version to learn, then harden what proves useful &mdash; and you fix the class of bug, not the instance</li><li>AI tools like Claude Code write most of your code &mdash; and you stay the human in the loop. You review what the model produces, catch what it gets wrong, and own correctness and security yourself</li><li>Energized, not depleted, by messy, high-constraint environments: legacy systems, enterprise integrations, incomplete documentation</li></ul>Pay: From $180,000.00 per yearPeople with a criminal record are encouraged to applyWork Location: Remote

Founding EngineerAI

American Express

<div>At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise.
Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences&mdash;while meeting the high standards for security, explainability, reliability, and compliance required in financial services.
We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow.
 
 
The Role
As a Staff Software Engineer &ndash; Agentic AI, you will operate as a senior individual contributor within Amex Technology, helping define how agentic AI systems are designed, built, and operated across the company.
You will work at the intersection of agentic system architecture and hands-on execution: designing core frameworks, writing production code, reviewing critical designs, and guiding teams through complex technical decisions. This role does not include people management; your impact comes from technical leadership, sound judgment, and the ability to turn ambiguity into reliable, scalable agentic systems.
You will work closely with Product and UX partners to shape a shared vision for agentic AI experiences. While product teams own prioritization, Staff engineers are expected to actively influence what gets built and how agentic systems come together across teams.
We are primarily looking for senior individual contributors; however, as the team grows, you will take on increasing responsibility for technical leadership and people development within the agentic AI space. Mentoring, developing and managing direct reports may be in scope for some of our opportunities.</div>
 <div><ul><li>10+ years of software engineering experience, including deep, hands-on experience delivering agentic or LLM-powered systems to production
</li><li>Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products. 10+ years of software engineering experience, including deep, hands-on experience delivering agentic or LLM-powered systems to production
</li><li>Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
</li><li>Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
</li><li>Fluency with AI-assisted and agentic development workflows.
</li><li>Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.
</li><li>Ability to influence technical direction and align teams without formal authority.
</li><li>Experience in worflow engines, async processing, queues, and streaming systems
</li></ul>Preferred Qualifications
<ul><li>Experience building agentic systems in fintech or other regulated industries.
</li><li>Experience as a founding engineer or early technical leader in AI-driven products.
</li><li>Demonstrated success delivering technically complex autonomous systems that customers actively rely on.
</li><li>Meaningful contributions to open-source AI or agentic frameworks.
</li><li>Familiarity with fine-tuning, model optimization and inference pipelines is a plus</li></ul></div>
 <div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</div>
 <div>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
<ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site .
<div>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. 
</div><div></div> 
<div>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. 
</div><div></div> 
<div>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.</div></div><div></div>

Staff AI Engineering - Enterprise Architecture

NTT DATA

Req ID: 382105
 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
We are currently seeking a Distinguished AI Engineer to join our team in Jersey City, New Jersey (US-NJ), United States (US).
 
Distinguished AI Engineer
 
Enterprise AI Architecture / LLM Platforms / Advanced AI Systems
 
Role purpose
 
Set the architecture, engineering standards, platform strategy, and technical governance for enterprise AI and GenAI capabilities. This role guides senior engineering teams and ensures AIRP is scalable, reusable, observable, cost-efficient, secure, and compliant, while remaining AWS-first today and cloud-agnostic by design.
 
Client-specific emphasis
 <ul>
<li>Own the cloud-agnostic AI blueprint while leveraging AWS as the current implementation platform.</li>
<li>Define reusable Terraform/IaC and DevOps pipeline patterns that can be federated across multiple AIRP use cases.</li>
<li>Ensure architecture supports AI for business, AI for engineering, and responsible citizen development without fragmenting controls.</li>
</ul>
Primary ownership
 <ul>
<li>Target-state enterprise AI architecture, AIRP reference patterns, reusable platform capabilities, and guardrails.</li>
<li>LLMOps, AI gateways, model-serving strategy, evaluation platforms, observability, governance, and operating standards.</li>
<li>Technical assurance for high-risk or high-impact AI initiatives across banking use cases.</li>
</ul>
Key responsibilities
 <ul>
<li>Define target-state architecture for AIRP, LLM platforms, model hubs, AI gateways, RAG services, agent frameworks, orchestration layers, and model-serving infrastructure.</li>
<li>Establish enterprise standards for AI SDLC, LLMOps, MLOps, evaluation, release management, operational resilience, and production support.</li>
<li>Create AWS implementation patterns that align with a cloud-agnostic blueprint and minimize unnecessary vendor lock-in.</li>
<li>Define standards for Terraform modules, reusable IaC templates, environment strategy, pipeline promotion, approvals, observability, secrets, rollback, and operational controls.</li>
<li>Guide architecture for secure, scalable, and cost-efficient inference across cloud, hybrid, private, and containerized environments.</li>
<li>Define guardrail patterns for hallucination mitigation, bias monitoring, harmful-content controls, prompt injection defense, data leakage prevention, and human oversight.</li>
<li>Lead design reviews for critical AI systems and provide technical assurance to architecture, risk, security, and governance forums.</li>
<li>Partner with cybersecurity, risk, compliance, legal, audit, product, business, and citizen-development enablement teams.</li>
<li>Assess emerging AI technologies and recommend adoption based on business value, maturity, risk, cost, portability, and regulatory fit.</li>
</ul>
Must-have candidate profile
 <ul>
<li>10+ years in AI/ML systems, distributed systems, enterprise architecture, or platform engineering.</li>
<li>Deep experience with LLMs, RAG, embeddings, model serving, AI orchestration, evaluation frameworks, and AI infrastructure.</li>
<li>Proven track record defining architecture and technical standards across multiple engineering teams.</li>
<li>Strong AWS cloud architecture experience or comparable hyperscaler depth, with clear ability to design cloud-agnostic AI platform patterns.</li>
<li>Experience shaping Terraform/IaC standards, DevOps pipelines, secure deployment patterns, observability, resiliency, and platform operating models.</li>
<li>Ability to influence senior stakeholders and operate across business, technology, risk, compliance, security, data, and architecture forums.</li>
</ul>
Preferred experience
 <ul>
<li>Global bank, fintech, financial-services, or regulated-enterprise platform experience.</li>
<li>Experience with enterprise AI platforms, private LLM deployments, internal model hubs, AI gateways, multi-cloud AI strategy, or platform blueprint ownership.</li>
<li>Familiarity with Responsible AI, model risk management, audit expectations, technology risk controls, and citizen development governance.</li>
</ul>
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the nature of the role offered and will either be [$139,872 - $209,808], or [$80-$100] if the role is hired as a temporary position. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications.
 
This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation.
 
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
 
About NTT DATA
 
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
 
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Distinguished AI Engineer

Indeed

Our Mission As the world&rsquo;s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2026) Day to Day As a Software Engineer IV on the AI Infrastructure team, you will own the design, development, and operation of foundational AI platform systems that support critical AI products and workflows across Indeed. You will take on broad technical ownership for critical AI services, ensuring these systems are reliable, scalable, maintainable, and ready to support growing adoption across job seeker and employer AI products. In this role, you will work closely with engineers, product managers, data scientists, SRE partners, and dependent product teams to translate AI platform requirements into well-designed solutions. You will help drive architecture and execution for multiple AI Infrastructure projects and related platform capabilities. You will identify opportunities to improve developer productivity, system reliability, operational excellence, and the overall quality of Indeed&rsquo;s AI product development lifecycle. Responsibilities Own the design, development, and evolution of complex systems, frameworks, or platforms. Drive technical decision-making, balancing short-term delivery with long-term maintainability and scalability. Architect new solutions, evaluate trade-offs, and validate ideas through prototyping, experimentation, or iteration on existing systems. Participate in and influence code and design reviews across teams to uphold high engineering standards. Identify performance, reliability, and scalability improvements and drive enhancements to existing systems. Mentor and guide other engineers, supporting technical growth and best practices across teams. Communicate clearly and effectively with engineers, product managers, and other business partners to align on technical direction and execution. Skills/Competencies Requires a Bachelor&rsquo;s degree in Computer Science, Mathematics, Computer Engineering, Electrical Engineering, or related field and a minimum of 8 years of related experience; or a Master&rsquo;s degree with a minimum of 6 years of experience; or a PhD with 3 years experience Proficiency in software design, data structures, algorithms, and computer science fundamentals. Experience designing, building, and operating scalable, reliable software systems or platforms. Demonstrated ownership and accountability for technical outcomes and system quality. Excellent collaboration and communication skills, with the ability to influence technical direction across teams. Salary Range Transparency Tier 1 - United States of America 140,000 - 210,000 USD per year Tier 2 - United States of America 155,000 - 233,000 USD per year Tier 3 - United States of America 171,000 - 257,000 USD per year Tier 4 - United States of America N/A Tier 5 - United States of America 195,000 - 293,000 USD per year Salary Range Disclaimer The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site (https://www.indeed.com/careers/paytiers), and recruiters can confirm how location is considered for a specific role. Benefits - Health, Work/Life Harmony, &amp; Wellbeing We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company&rsquo;s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, &amp; perks at https://www.indeed.com/careers/benefits! Equal Opportunities and Accommodations Statement Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We&rsquo;re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit https://www.indeed.com/careers/accommodations. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (https://www.indeed.com/careers). Inclusion &amp; Belonging Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we&rsquo;re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. Indeed&rsquo;s Employee Recruiting Privacy Policy Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site&rsquo;s user and privacy policy found at https://www.indeed.com/legal, we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs. Agency Disclaimer Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an &quot;Agency&quot;), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. AI Notice Indeed is committed to ensuring fairness and transparency throughout our hiring process. We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making. Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as those tools are defined in applicable laws. Reference ID: 47399 The deadline to apply to this position is 8/8/2026. Job postings may be extended at the hiring team&rsquo;s discretion based on applicant volume. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Reference ID: 47399

Staff Software Engineer- AI Platform

Virta Health

<div>Virta Health is on a mission to reverse metabolic disease in one billion people. Current treatment approaches aren&rsquo;t working&mdash;over half of US adults have either type 2 diabetes or prediabetes, and obesity rates are at an all-time high. Virta is changing this by helping people reverse their metabolic condition through innovations in technology, personalized nutrition, and virtual care delivery reinvented from the ground up. We have raised over $350 million from top-tier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and take back their lives. Join us on our mission to reverse metabolic disease in one billion people.
As our AI Operations Specialist you will be a technical catalyst driving Virta's evolution into an AI Native organization. You will serve as the hands-on subject matter expert partnering on the department-by-department rollout of our selected agentic AI platform with HR, ensuring our teams safely and effectively exploit generative AI to maximize their operational velocity. In this highly cross-functional role as part of the Engineering organization, you will partner closely with HR, business department SMEs, IT, Information Security, and Infrastructure Engineering to audit AI costs, evaluate AI connectivity requests, and operationalize long-term support workflows. If you are exceptionally curious, structurally analytical, and thrive in rapidly shifting environments, this role is your opportunity to define the future of work in digital health.<h1 class="jobSectionHeader">
Responsibilities</h1><ul><li>
Drive Adoption of selected agentic AI platform : Serve as the technical SME and primary champion for our rollout, partnering with HR department-by-department to support technical request and access, identify productivity bottlenecks, and implement high-impact AI use cases.</li><li>
Establish AI Financial Observability: Define, monitor, and report on enterprise AI costs by department, creating structured dashboards to ensure optimized allocations and fiscal efficiency across our SaaS toolset.</li><li>
Govern AI Vendor Risk Assessment: Partner with Information Security and legal teams to review, and assess new AI tools and vendors, validating how to implement connectivity</li><li>
Bridge IT, Security &amp; Engineering Infrastructure: Collaborate with internal infrastructure and security platform engineering teams to translate evolving technical AI guardrails into frictionless business enablement policies.</li><li>
Build Repeatable IT Operational Workflows: Architect and document long-term support processes, training modules, and standard operating procedures (SOPs) to transition daily AI ticket triaging, troubleshooting, and license management smoothly to the broader IT support team.</li></ul><h1 class="jobSectionHeader">
90 Day Plan</h1>
Within your first 90 days at Virta, we expect you will do the following:<ul><li>
First 30 days: Deep dive into Virta's agentic AI platform and the deployment strategy. Build strong relationships with key partners in IT, GRC, and Foundations Engineering, and shadow current software evaluation queues.</li><li>
Day 30-60: Partner on first pilots across the first key business departments, identifying specific workflow opportunities. Deliver the first automated dashboard tracking AI token utilization and cost metrics broken down by department.</li><li>
Day 60-90: Formalize the AI vendor risk checklist in partnership with the Security team, deploy self-service AI guides, and document onboarding SOPs so that Tier 1 and Tier 2 IT support staff can autonomously assist users with common generative AI queries.</li></ul><h1 class="jobSectionHeader">
Must-Haves</h1><ul><li>
2+ years of experience in agentic AI, IT operations, and business systems enablement, 4 years technical program management.</li><li>
Technical skills: Hands-on technical experience deploying, configuring, or supporting generative AI productivity suites (such as Google Gemini, OpenAI/ChatGPT Enterprise, or Microsoft Copilot) across corporate environments. API &amp; Model Orchestration: Hands-on experience integrating with frontier LLMs, multi-agent frameworks, and vector/retrieval systems. Software Engineering: Strong fundamentals in general software development with proficiency in languages like Python and C++.</li><li>
Systems Integration: Ability to design with Model Context Protocol (MCP) servers and connect AI systems to existing internal legacy databases and web APIs.</li><li>
Strong analytical and quantitative skills with experience building dashboard telemetry using APIs (e.g., utilizing Sheets, SQL, Looker, or similar BI tools) to gather info across platforms to track API utilization, software licensing, or operational costs.</li><li>
Exceptional agility and communication skills, with a proven ability to demystify complex technical tools for non-technical users and coordinate across IT, Security, and Engineering.</li><li>
Successfully designed and implemented repeatable AI-enabled workflows that address team bottlenecks and improve efficiency.</li><li>
Can-do attitude with never-ending curiosity to learn</li></ul><h1 class="jobSectionHeader">
Core Responsibilities</h1><ul><li>
Tooling &amp; Infrastructure: Build internal AI platforms, custom copilots, prompt libraries, and AI-agent toolkits designed for specific company workflows.</li><li>
Cross-Functional Enablement: Partner with non-technical teams to identify repetitive work and prototype rapid, AI-powered solutions.</li><li>
Governance &amp; Standards: Establish the necessary security guardrails, evaluation frameworks, and system guardrails so internal teams can deploy trusted AI safely at scale.</li><li>
Training &amp; Mentorship: improve AI literacy in partnership with HR and promote AI adoption across the entire enterprise.</li></ul><h1 class="jobSectionHeader">
Values-driven culture</h1>
Virta&rsquo;s company values drive our culture, so you&rsquo;ll do well if:<ul><li>
You put people first and take care of yourself, your peers, and our patients equally</li><li>
You have a strong sense of ownership and take initiative while empowering others to do the same</li><li>
You prioritize positive impact over busy work</li><li>
You have no ego and understand that everyone has something to bring to the table regardless of experience</li><li>
You appreciate transparency and promote trust and empowerment through open access of information</li><li>
You are evidence-based and prioritize data and science over seniority or dogma</li><li>
You take risks and rapidly iterate</li></ul>
Is this role not quite what you're looking for? Join our Talent Community and follow us on Linkedin to stay connected! 
Join our Talent Community | follow us on Linkedin 
Virta has a location based compensation structure. Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience. For this role, the compensation range is $136,000 - $176,000. Information about Virta&rsquo;s benefits is on our Careers page at: https://www.virtahealth.com/careers.
As part of your duties at Virta, you may come in contact with sensitive patient information that is governed by HIPAA. Throughout your career at Virta, you will be expected to follow Virta's security and privacy procedures to ensure our patients' information remains strictly confidential. Security and privacy training will be provided.
As a remote-first company, our team is spread across various locations with office hubs in Denver and San Francisco.
Clinical roles: We currently do not hire in the following states: AK, HI, RI
Corporate roles: We currently do not hire in the following states: AK, AR, DE, HI, ME, MS, NM, OK, SD, VT, WI.
Virta uses Ashby as its applicant tracking system, which incorporates AI-powered tools (provided by OpenAI, AWS, and Google Gemini) in certain aspects of the recruiting process, including application review, candidate screening, and interview note taking; your data is not used to train AI models, and all final hiring decisions are made by Virta Health personnel. For more information, see Ashby's AI Terms at https://www.ashbyhq.com/resources/terms-ai-features
#LI-remote
Compensation Range: $136K - $176K</div>

AI Operations Engineer

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