enterprise ai engineer

JODAYN

<div><p>Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.</p><p>
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.</p><p>
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.</p><p>
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments.</p><b><br>
Requirements</b><p><br>
AI Platform Engineering</p><ul><li>
Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions</li><li>
Build modular and reusable AI services and APIs</li><li>
Develop AI-powered workflow automation systems and intelligent orchestration pipelines</li><li>
Design and implement scalable backend architectures supporting AI workloads</li></ul><p></p><p>
Agentic AI Development</p><ul><li>
Build autonomous and semi-autonomous AI agents</li><li>
Develop multi-agent orchestration workflows and task delegation systems</li><li>
Implement memory management and contextual reasoning capabilities</li><li>
Integrate AI systems with external tools, APIs, and enterprise applications</li></ul><p></p><p>
Large Language Model Integration</p><ul><li>
Integrate and optimise large language model services including Claude, OpenAI, and open-source models</li><li>
Develop prompt orchestration pipelines and retrieval-augmented generation architectures</li><li>
Implement vector database integration and semantic search capabilities</li><li>
Optimise model performance, response quality, and operational efficiency</li></ul><p></p><p>
Enterprise System Integration</p><ul><li>
Integrate AI platforms with enterprise systems, collaboration tools, and document repositories</li><li>
Develop secure API integration patterns</li><li>
Support authentication and identity integration requirements</li><li>
Build AI-enabled enterprise workflow capabilities</li></ul><p></p><p>
Proposal &amp; Compliance Automation</p><ul><li>
Develop intelligent proposal generation and evaluation systems</li><li>
Build compliance validation and document inspection workflows</li><li>
Implement AI-assisted scoring and recommendation engines</li><li>
Support enterprise governance automation initiatives</li></ul><p></p><p>
Infrastructure &amp; Deployment</p><ul><li>
Deploy AI applications in cloud, hybrid, and on-premise environments</li><li>
Configure logging, observability, monitoring, and operational diagnostics</li><li>
Support containerisation and deployment automation practices</li><li>
Optimise infrastructure scalability and operational cost efficiency</li></ul><p></p><p><br>
Required Qualifications</p><p>
Education</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field</li><li>
Master&rsquo;s degree is preferred but not mandatory</li></ul><p></p><p>
Experience</p><ul><li>
Minimum 7 years of software engineering experience</li><li>
Minimum 3 years practical experience developing AI-powered applications</li><li>
Proven experience building and deploying production-grade AI systems</li><li>
Experience working in enterprise or regulated environments preferred</li></ul><p></p><p>
Required Technical Skills</p><p>
Programming &amp; Backend Development</p><ul><li>
Python</li><li>
FastAPI or equivalent backend frameworks</li><li>
RESTful APIs</li><li>
PostgreSQL or equivalent databases</li><li>
Git and version control systems</li></ul><p>
AI Technologies</p><ul><li>
Claude APIs</li><li>
OpenAI APIs</li><li>
LangGraph</li><li>
LangChain</li><li>
Retrieval-Augmented Generation</li><li>
Vector databases</li><li>
Prompt orchestration</li><li>
AI workflow automation</li></ul><p>
Frontend &amp; Integration</p><ul><li>
React or Next.js</li><li>
API integration</li><li>
Authentication and access control concepts</li></ul><p>
Infrastructure &amp; DevOps</p><ul><li>
Docker</li><li>
Linux environments</li><li>
CI/CD pipelines</li><li>
Cloud deployment concepts</li></ul><p>
Preferred Skills</p><ul><li>
Experience with enterprise AI governance solutions</li><li>
Experience with intelligent document processing systems</li><li>
Experience using AI-assisted development tools</li><li>
Exposure to multi-agent systems and orchestration frameworks</li><li>
Familiarity with enterprise architecture concepts</li></ul><p></p><p><br>
Core Competencies</p><ul><li>
Strong analytical and problem-solving skills</li><li>
Ability to independently deliver complex technical solutions</li><li>
Strong software design capability</li><li>
Fast execution and delivery orientation</li><li>
Excellent communication and documentation skills</li><li>
Ability to work in fast-paced enterprise environments</li></ul></div><p></p>

Senior AI Product Engineer

DocuSign

<div><h2 class="jobSectionHeader"><b>Company Overview</b></h2><div><br>
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).</div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You'll Do</b></h2><p><br>
As a Lead AI Solutions Delivery Engineer, you will be on the front lines, embedded directly with strategic enterprise customers to solve complex business problems using Docusign's proprietary Agentic capabilities, third-party AI integrations, and existing tech stacks. You will bridge the gap between business and technology, defining customer workflows, designing bespoke architectures, writing code, and engineering prompts to deliver tangible business outcomes. You will leverage Docusign's IAM Platform, Docusign and third party MCP servers, APIs, and third party integrations with leading AI ecosystems (like OpenAI, Microsoft CoPilot, and Claude) to optimize enterprise agreement lifecycles against contract populations exceeding millions of agreements. By capturing insights from these field deployments, you will collaborate cross-functionally with Docusign's product and engineering teams to shape our long-term AI roadmap. This role is a perfect fit if you thrive in client-facing environments and have a proven track record deploying GenAI and LLMs in production.</p><p></p><p><br>
This position is an individual contributor role reporting to the Sr. Director, Value Delivery Activation.</p><p></p><div><p><b><br>
Responsibility</b></p></div><ul><li><p>
Design and lead cross functional customer-facing engagements to develop and deploy a modern Agentic vision of Agreement Management business processes</p></li><li><p>
Design, build, and deploy AI enabled workflows and solutions that integrate Docusign AI capabilities including but not limited to, Docusign's MCP Server and APIs, Docusign Web Forms backed by APIs to third party systems, Custom Extractions, Docusign skills in third party agentic platforms (e.g. Docusign's integration with Open AI, Claude Cowork, Microsoft CoPilot, Harvey and Legora) and other similar customer Agentic Tech stacks to automate and optimize customer business processes</p></li><li><p>
Execute deployment 'firsts' to prove out, capture, and productionize new Agentic implementation patterns, repeatable use cases and toolkits</p></li><li><p>
Run technical demos, trainings, and workshops for technical and non-technical audiences</p></li><li><p>
Partner directly with customer stakeholders, Docusign product, engineering, success, services and partner team members and third party system integrators to translate open-ended operational business requirements into production level AI enabled business solutions</p></li><li><p>
Memorialize repeatable deployment strategies and contribute insights and learnings back to Docusign product and engineering teams</p></li><li><p>
Develop robust data pipelines, containerized microservices, distributed system architectures, and system context management repositories to ensure autonomous AI tools operate accurately and reliably</p></li><li><p>
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</p></li><li><p>
Synthesize field learnings, establish repeatable configuration scripts and deployment patterns, and develop cross functional data based recommendations to establish and deliver product consulting toolkits to establish enterprise-deployable implementation guides</p></li><li><p>
Partner with our Partner Enablement and larger partner organization to equip the partner ecosystem to implement well-architected solutions by contributing repeatable deployment best practices and blueprints</p></li><li><p>
Evaluate human and AI-generated code critically for correctness, quality, security, performance, and compliance within isolated cloud environments</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Job Designation</b></h2><div><p><b><br>
Remote:</b></p>
Employee is not required to be in or near an office frequently and works from a designated remote work location for the majority of the time.</div><div></div><div><p><br>
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.</p></div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You Bring</b></h2><div><p><b><br>
Basic</b></p></div><ul><li><p>
Bachelor's or advanced degree in Computer Science, Mathematics, Computer Engineering, Statistics, Operations Research, etc. or equivalent practical experience</p></li><li><p>
12+ years of experience in software engineering, deployment-focused engineering, or customer-facing technical delivery roles, in an established technology company, including AI focused startups or scale-ups</p></li><li><p>
1.5+ years of experience implementing LLMs, production-grade GenAI applications, autonomous agents, or orchestration frameworks for production level software</p></li><li><p>
Experience working directly with customers during POCs, architecture reviews, and technical evaluations</p></li><li><p>
Experience with Python, Java, C++, or systems fundamentals</p></li></ul><div><p><b>
Preferred</b></p></div><ul><li><p>
Prior experience as a forward deployed engineer, customer-facing technical lead, startup CTO, enterprise architect or software engineer with consulting experience</p></li><li><p>
Experience deploying autonomous agents or AI orchestration frameworks within highly regulated environments such as finance or healthcare</p></li><li><p>
Deep understanding of data security, compliance frameworks, and isolated enterprise cloud deployments</p></li><li><p>
Ability to collaborate cross functionally and &quot;love of learning&quot; posture required to support the rapid development in the AI space</p></li><li><p>
Willingness and ability to travel 25-50% of the time to customer sites as required</p></li><li><p>
Experience designing agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling</p></li><li><p>
Strong communication and customer engagement skills for conducting customer discovery and conveying and synthesizing technical concepts to or from diverse stakeholders, including non-technical audiences</p></li><li><p>
A passion for driving and taking responsibility for customer outcomes, rather than just making customer recommendations</p></li><li><p>
A bias toward action and a &quot;learning posture&quot; in the ever changing world of AI and LLMs with the ability figure things out on the fly</p></li><li><p>
Excitement about building and operating AI agents in production, learning with customers, and then sharing those learnings with cross functional teams</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Wage Transparency</b></h2><div><br>
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.</div><div></div><div><br>
Based on applicable legislation, the below details pay ranges in the following locations:</div><div></div><div><br>
California: $164,700.00 - $266,000.00 base salary</div><div></div><div><br>
Illinois, Colorado, Massachusetts and Minnesota: $158,300.00 - $223,625.00 base salary</div><div></div><div><br>
Washington, Maryland, New Jersey and New York (including NYC metro area): $158,300.00 - $232,575.00 base salary</div><div></div><div><br>
Washington DC: $164,700.00 - $232,575.00 base salary</div><div></div><div><br>
Ohio: $137,800.00 - $194,650.00 base salary</div><div></div><div><br>
This role is also eligible for the following:</div><ul><li>
Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.</li><li>
Stock: This role is eligible to receive Restricted Stock Units (RSUs).</li></ul><div></div><div><p><br>
Global benefits</p>
provide options for the following:</div><ul><li>
Paid Time Off: earned time off, as well as paid company holidays based on region</li><li>
Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement</li><li>
Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment</li><li>
Retirement Plans: select retirement and pension programs with potential for employer contributions</li><li>
Learning and Development: options for coaching, online courses and education reimbursements</li><li>
Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events</li></ul><div><p><b>
Work Authorization Notice:
</b></p>Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.</div><br>
<p></p>
<br>
<p></p><h2 class="jobSectionHeader"><b>Life At Docusign</b></h2><div><p><b><br>
Working here</b></p></div><div>
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.</div><div></div><div><br>
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.</div><div></div><div><p><b><br>
Accommodation</b></p></div><div>
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.</div><div></div><div><br>
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.</div></div><p></p>

Lead AI Solutions Delivery Engineer

Travelers

<div><p><b>Who Are We?</b></p><p>
Taking care of our customers, our communities and each other. That&rsquo;s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.</p><p></p><p><b>
Compensation Overview</b></p><p>
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.</p><p></p><p><b>
Salary Range</b></p>
$139,400.00 - $230,000.00<p></p><p><b>
Target Openings</b></p>
1<p></p><p><b>
What Is the Opportunity?</b></p>
As a member of Enterprise AI &amp; Emerging Tech, you'll be joining a strategic and collaborative team that is passionate about transforming our business and technology capabilities and paving the way for best-in-class technology, data and analytics.<br>
<br>
As a Senior Software Engineer for the Enterprise AI Products Value Stream within the Enterprise AI &amp; Emerging Tech organization, you will serve as an organizational technical leader and a driving force behind the engineering standards, architecture decisions, and delivery outcomes of the team. Engineers at this level work across the full arc of AI product delivery &mdash; from long-horizon strategic initiatives where the path to production is known and the engineering complexity is high, to engagements that demand rapid, high-quality delivery directly alongside Lines of Business. You will lead stakeholder conversations, shape the technical direction of initiatives, and build collective ownership across engineers, architects, and product owners. This role is for engineers who bring deep, production-hardened AI and machine learning experience, think multiple quarters ahead, and take personal responsibility for elevating the engineers around them.<br>
<br>
Applicants must be authorized to work for ANY employer in the U.S. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role.<p><b>
What Will You Do?</b></p><ul><li><b><i>
Design and lead </i></b><i>the delivery of production-grade AI-powered solutions across a range of engagement types &mdash; from sustained strategic initiatives requiring deep discovery, architecture ownership, and long-horizon planning, to rapid field engagements focused on integrating LOB workflows with enterprise AI platforms and validating feasibility through working prototypes.</i></li><li><b><i>
Drive technical decisions across multiple teams</i></b>, establishing patterns and engineering standards that are adopted beyond the immediate team and serve as a reference for the broader organization.</li><li><b><i>
Lead stakeholder conversations with Lines of Business</i></b><i> &mdash; translating complex technical capabilities into terms that communicate clear business value, and surfacing field intelligence that shapes strategic investment decisions and roadmap priorities.</i></li><li><b><i>
Apply production-hardened machine learning experience to the design and evaluation of AI systems </i></b>&mdash; including model selection, fine-tuning, evaluation methodology, feature engineering, and the integration of traditional ML fundamentals alongside modern LLM-based approaches.</li><li>
Own the technical quality of what the team ships &mdash; driving adherence to nonfunctional requirements including modularity, scalability, observability, recoverability, and testability across all delivered capabilities.</li><li><b><i>
Mentor engineers across the team and beyond</i></b>, setting the learning example, defining best practices, and building engineering capability at an organizational level. Advocate for and advance engineering practices across the value stream &mdash; including source code management, CI/CD standards, test automation, and modern engineering principles &mdash; with an expectation of alignment across teams, not just your own.</li><li>
Identify opportunities where technology can drive business value, think proactively two to three quarters ahead, and contribute to the technical strategy of the AI Products value stream.</li><li>
Participate in and lead Engineering Chapter events and cross-organizational technical forums, sharing knowledge in a discoverable and enterprise-accessible way.</li><li>
Perform other responsibilities as assigned.</li></ul><p><b>
What Will Our Ideal Candidate Have?</b></p><ul><li>
5+ years of software engineering experience with proficiency in <b><i>Python</i></b>; additional languages (JavaScript, TypeScript, Java) a plus.</li><li>
Hands-on experience with <b><i>AWS</i></b> and/or <b><i>Azure</i></b>, containerization and orchestration (Kubernetes), RESTful APIs, microservices architecture, and CI/CD tooling (Jenkins or GitHub Actions).</li><li><b><i>
Production experience</i></b> designing and delivering agentic workflows, LLM integrations, or AI-powered automations; applied ML experience including model development, training, fine-tuning, and evaluation.</li><li>
Demonstrated ability to lead architecture and solution design across teams; advanced delivery skills including design strategy, automated testing, feedback loops, and production health monitoring.</li><li>
Strong problem solver &mdash; uses data and proofs of concept to find creative solutions, measures impact, and optimizes; comfortable making decisions with broad implications and significant complexity.</li><li>
Strong communicator &mdash; able to translate complex technical capabilities into business terms, document initiatives clearly, lead stakeholder conversations, and foster inclusive, collaborative team environments.</li><li>
Advanced leadership skills &mdash; takes ownership in ambiguous situations, influences priorities, develops business partnerships, mentors others, and shares knowledge across the organization.</li><li>
Familiarity with <b><i>Terraform</i></b>, MongoDB or comparable NoSQL,<b><i> Temporal</i></b> or comparable workflow orchestration, and <b><i>MCP server </i></b>configurations and multi-agent frameworks.</li><li>
Experience with ML observability, drift detection, model performance monitoring, or distributed tracing in production environments.</li><li>
Familiarity with zero-trust security principles or secure-by-design development practices in enterprise AI systems.</li><li>
Experience establishing or contributing to engineering standards at an organizational level.</li></ul><p></p><p><b>
What is a Must Have?</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, related STEM field, or its equivalent in education and/or work experience.</li><li>
6 additional years of software engineering experience.</li></ul><p></p><p><b>
What Is in It for You?</b></p><ul><li><b>
Health Insurance</b>: Employees and their eligible family members &ndash; including spouses, domestic partners, and children &ndash; are eligible for coverage from the first day of employment.</li><li><b>
Retirement:</b> Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.</li><li><b>
Paid Time Off:</b> Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.</li><li><b>
Wellness Program:</b> The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.</li><li><b>
Volunteer Encouragement:</b> We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.</li></ul><p></p><p><b>
Employment Practices</b></p><p>
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
</p><p></p><p>In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.</p><p></p><p>
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.</p><p></p><p>
Travelers reserves the right to fill this position at a level above or below the level included in this posting.</p><p></p><p>
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.</p></div>

Senior Software Engineer - Enterprise AI Products

VaporVM

<div><div><div><b>Date Posted:</b></div>
11 June, 2026</div>
<div><div><b>Industry:</b></div>
IT Services and IT Consulting</div>
<div><div><b>Location:</b></div>
VaporVM</div></div>
<br><div><h2 class="jobSectionHeader"><b>Job Description:</b></h2>
<div><h1 class="jobSectionHeader"><b>Senior HPC / Infrastructure Engineer</b></h1>
<p><b>
Location:</b> Riyadh, Saudi Arabia</p>
<p><b>
Employment Type:</b> Full-Time</p>
<p><b>
Experience:</b> 10+ Years (Hands-On)</p>
<h2 class="jobSectionHeader"><b>
Position Overview</b></h2>
<p>
We are seeking a highly experienced <b>Senior HPC / Infrastructure Engineer</b> with proven expertise in designing, deploying, and operating enterprise-scale High-Performance Computing (HPC) and AI infrastructure environments. This role is ideal for a hands-on technical leader who has built and managed production-grade HPC platforms, GPU clusters, Kubernetes ecosystems, and AI infrastructure from the ground up.</p>
<p>
The successful candidate will play a critical role in architecting, optimizing, and maintaining mission-critical compute environments that support advanced AI/ML, data science, and high-performance workloads.</p>
<h2 class="jobSectionHeader"><b>
Required Certifications</b></h2>
<ul><li><b>RHCE &ndash; Red Hat Certified Engineer (Active)</b></li>
<li><b>CKA &ndash; Certified Kubernetes Administrator (Active)</b></li>
</ul><h2 class="jobSectionHeader"><b>Core Technical Expertise</b></h2>
<h3 class="jobSectionHeader"><b>HPC &amp; NVIDIA AI Ecosystem</b></h3>
<ul><li>NVIDIA Base Command Manager (BCM)</li>
<li>NVIDIA AI Enterprise</li>
<li>NVIDIA GPU Operator &amp; Network Operator</li>
<li>NVIDIA NIM Inference Services</li>
<li>NVIDIA AI Blueprints</li>
<li>CUDA, GPU Drivers, and Performance Optimization</li>
</ul><h3 class="jobSectionHeader"><b>Compute &amp; Container Platforms</b></h3>
<ul><li>Kubernetes (Architecture, Operations &amp; Scaling)</li>
<li>Slurm Workload Manager</li>
<li>Distributed Computing Environments</li>
</ul><h3 class="jobSectionHeader"><b>Operating Systems</b></h3>
<ul><li>Red Hat Enterprise Linux (RHEL)</li>
<li>Ubuntu LTS (Canonical)</li>
</ul><h3 class="jobSectionHeader"><b>Automation &amp; DevOps</b></h3>
<ul><li>CI/CD Pipeline Design &amp; Implementation</li>
<li>Infrastructure Automation</li>
<li>Platform Lifecycle Management</li>
<li>Configuration Management &amp; Orchestration</li>
</ul><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li>Design, deploy, and operate large-scale HPC and AI infrastructure environments from bare metal through workload orchestration.</li>
<li>Architect and manage NVIDIA GPU platforms, including BCM, AI Enterprise, GPU Operator, and AI service enablement.</li>
<li>Configure, optimize, and maintain Slurm scheduling environments for high-throughput and GPU-intensive workloads.</li>
<li>Design and operate highly available Kubernetes clusters supporting AI/ML, analytics, and containerized workloads.</li>
<li>Enable and support NVIDIA NIM services and AI Blueprint deployments for enterprise AI initiatives.</li>
<li>Administer and optimize RHEL and Ubuntu environments, ensuring stability, security, and performance.</li>
<li>Develop and maintain infrastructure automation frameworks and CI/CD pipelines for platform and application deployment.</li>
<li>Optimize performance across compute, GPU, storage, networking, and cluster resources.</li>
<li>Implement monitoring, observability, alerting, capacity planning, and operational best practices.</li>
<li>Enforce security, patch management, access controls, and compliance standards across the infrastructure stack.</li>
<li>Lead troubleshooting, root cause analysis, and resolution of complex infrastructure and platform issues.</li>
</ul><h2 class="jobSectionHeader"><b>Candidate Profile</b></h2>
<ul><li>10+ years of hands-on experience in HPC, Linux infrastructure, and enterprise platform engineering.</li>
<li>Proven track record of building and operating production-scale HPC, GPU, or AI infrastructure environments.</li>
<li>Deep expertise in Kubernetes, Slurm, Linux administration, and NVIDIA AI technologies.</li>
<li>Strong understanding of distributed systems, workload scheduling, cluster management, and performance optimization.</li>
<li>Experience supporting AI/ML, data science, and high-performance computing workloads at scale.</li>
<li>Strong analytical, troubleshooting, and problem-solving skills.</li>
<li>Ability to work across infrastructure, platform, automation, and AI enablement domains.</li>
<li>Demonstrated ownership mindset with a history of delivering reliable, scalable, and high-performing solutions.</li></ul></div></div><p></p>

Senior Infrastructure / HPC

MANTECH

<div><p>MANTECH seeks a motivated, career, and customer-oriented <b>AI Engineer</b> for a new initiative. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across a cloud, edge, and classified operational environment.</p><p>
The <b>AI Engineer</b> supports the development and operationalization of advanced AI and agentic AI systems in production mission environments. You will accelerate operational AI adoption through a modern Hub-and-Spoke architecture, supporting mission applications and enterprise AI governance.</p><p></p><p><b>
Responsibilities include but are not limited to:</b></p><ul><li>
Design, develop, and operationalize full-lifecycle AI/ML operations (MLOps/LLMOps).</li><li>
Implement and deploy Retrieval-Augmented Generation (RAG) architectures in production.</li><li>
Build and maintain scalable AI orchestration frameworks and production-ready AI systems.</li><li>
Manage and optimize Kubernetes-based AI deployments, focusing on GPU inference optimization.</li><li>
Conduct core Python development for AI systems and integrate OpenAI-compatible APIs into mission solutions.</li><li>
Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel.</li></ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li>
Must possess 7 or more years of experience in AI/ML production engineering, development, or related roles. Relevant additional experience will be considered in lieu of degree.</li><li>
Proven proficiency in Python development and experience with AI/ML libraries like TensorFlow or PyTorch.</li><li>
In-depth knowledge of MLOps/LLMOps principles and full machine learning lifecycle management.</li><li>
Experience with Kubernetes-based AI deployments and GPU optimization techniques.</li><li>
Proven experience designing, building, securing or monitoring scalable solutions within the Microsoft Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center).</li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering or a related field.</li><li>
Experience with LangGraph, Semantic Kernel, and agentic AI systems.</li><li>
Familiarity with Ray, NVIDIA GPU ecosystems, or Vector databases.</li><li>
Advanced degree (Master's or PhD) in a technical field.</li></ul><p></p><p><b>
Clearance Requirements:</b></p><ul><li>
TS/SCI with the ability to obtain and maintain a polygraph</li></ul><p></p><p><b>
Physical Requirements:</b></p><ul><li>
The person in this position must be able to remain in a stationary position 50% of the time.</li><li>
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.</li><li>
Constantly operates a computer and other office productivity machinery.</li></ul></div><p></p>

AI Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p><b>Must-Have Skills</b></p>
<ul><li>Strong AI/ML engineering and software development experience</li>
<li>Expertise in LLMs, Gemini APIs, Vertex AI, and Google Cloud</li>
<li>Experience building agentic AI workflows, copilots, and intelligent agents</li>
<li>Hands-on implementation of RAG systems and vector databases</li>
<li>Strong prompt engineering skills and applied analytics knowledge</li>
<li>Ability to integrate AI solutions with enterprise systems</li>
<li>Experience with middleware, orchestration layers, and API integrations</li>
<li>Knowledge of AI observability, evaluation frameworks, guardrails, and security controls</li>
<li>Strong problem-solving, debugging, and rapid prototyping ability</li>
<li>Excellent communication and stakeholder management skills</li>
<li>Ability to thrive in fast-paced, ambiguous environments with ownership mindset</li>
</ul>
<p><b>Key Responsibilities</b></p>
<ul><li>Develop and deploy AI solutions using Gemini Enterprise, Vertex AI, and Google Cloud</li>
<li>Build prototypes, POCs, and production-grade AI applications rapidly</li>
<li>Design and implement agentic workflows, RAG systems, and AI orchestration pipelines</li>
<li>Integrate LLMs with enterprise platforms and build middleware layers</li>
<li>Create intelligent copilots, multi-modal demos, and automation workflows</li>
<li>Ensure AI systems meet standards for reliability, s ecurity, explainability, and compliance</li>
<li>Implement monitoring, evaluation, and human-in-the-loop frameworks</li>
<li>Work directly with clients to gather requirements and design AI solutions</li>
<li>Lead technical discussions, discovery workshops, and solution demos</li>
<li>Act as a bridge between business stakeholders and engineering teams</li>
</ul></div></div></div><div><div><div><b>Location</b></div>
<div>Milford Center, OH</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Senior Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>416664</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$120,000-$160,000 a year</div></div></div></div><div></div>

Forward Deployed Engineer

Sunwell America. Inc

<p><b>Job Description</b></p><p><b>Must Have Technical/Functional Skills</b></p><ul><li>Deep Google GenAI Stack: Vertex AI (Pipelines, Endpoints, Vector Search), Gemini APIs, and Agentic architectures (Function Calling, Agent Development Kit, Agent Builder).</li><li>Core GCP Infra: Solid understanding of how ML model deployments interact with BigQuery, IAM, Cloud Storage, and VPCs.</li><li>High-Severity Leadership: Excellent interpersonal ability to manage P1/P2 crises and deliver technical root-cause analyses directly to enterprise customers and accelerate L1 L2 teams</li><li>Ideal: Systems &amp; Code Debugging skills, Strong Python coding/debugging skills, API troubleshooting, and distributed systems log analysis (Cloud Logging/Monitoring).</li></ul><p><b>Roles &amp; Responsibilities</b></p><ul><li>This role falls in the Tier 3 Support and plays as the bridge between our frontline representatives (who are already Associate Cloud Engineer certified) and Google Product Engineering.</li><li>Act as the ultimate technical escalation point for complex enterprise issues across Vertex AI, Gemini/Gemini Enterprise, and Vertex AI Agent Builder.</li><li>8+ years in Tier 3 Technical Support, SRE, and AI/ML Engineering.</li><li>Mandarin Fluency (Spoken &amp; Written) for direct engagement with enterprise customers and stakeholders.</li><li>Generic Managerial Skills, If any</li><li>Stakeholder management</li><li>Escalation handling</li><li>Cross-functional collaboration</li><li>Communication skills</li><li>Problem-solving</li><li>Ownership &amp; accountability</li></ul><p>Pay: $90,000.00 - $110,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Dental insurance</li></ul><p>Work Location: In person</p>

GenAI Support Engineer / Google Cloud AI Specialist

Search 3678+ Enterprise ai engineer jobs near you this June. New roles added regularly across leading industries. Apply today.