applied ai engineer

Scale AI

<div>
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 <br/>
 <br/>
 <ul>
  <li>
   Creating custom AI applications that will impact millions of citizens
  </li>
  <li>
   Generating high-quality training data for national LLMs
  </li>
  <li>
   Upskilling and advisory services to spread the impact of AI
   <br/>
   <br/>
  </li>
 </ul>
 We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.
 <br/>
 <br/>
 At Scale, we&rsquo;re not just building AI solutions&mdash;we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we&rsquo;d love to hear from you.
 <br/>
 <br/>
 <strong>
  You will:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
  </li>
  <li>
   Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
  </li>
  <li>
   Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
  </li>
  <li>
   Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
  </li>
  <li>
   Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
  </li>
  <li>
   Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideally you&rsquo;d have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
  </li>
  <li>
   7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
  </li>
  <li>
   2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
  </li>
  <li>
   Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
  </li>
  <li>
   Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
  </li>
  <li>
   Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to haves:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working at a startup, particularly as founding engineer
  </li>
  <li>
   Experience building and deploying large-scale AI solutions
  </li>
  <li>
   Strong written and verbal communication skills to operate in a cross-functional team environment
  </li>
  <li>
   Proficiency in Arabic (if focused on language models)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   PLEASE NOTE:
  </em>
 </strong>
 <em>
  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
  <br/>
  <br/>
 </em>
 <strong>
  About Us:
  <br/>
  <br/>
 </strong>
 <em>
  At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 </em>
 <em>
  Ernst
 </em>
 <em>
  &amp;
 </em>
 <em>
  Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
  <br/>
  <br/>
 </em>
 <em>
  We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
  <br/>
  <br/>
 </em>
 <em>
  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 </em>
 <em>
  Know Your Rights poster
 </em>
 <em>
  for additional information.
  <br/>
  <br/>
 </em>
 <em>
  We comply with the United States Department of Labor's
 </em>
 <em>
  Pay Transparency provision
 </em>
 <em>
  .
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   PLEASE NOTE:
  </strong>
  We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 </em>
</div>


Applied AI Engineer, Global Public Sector

Apple

<p>Apple&rsquo;s Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation.<br>
<br>
We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Automation (EDA), building autonomous agents that triage errors, tune simulation parameters, and drastically reduce maintenance burdens for silicon verification teams.<br>
<br>
<b>Description</b><br>
<br>
In this role, you will focus on AI based automations, infrastructure development, and continuous experimentation at the intersection of hardware design and verification.&quot;,&quot;responsibilities&quot;:&quot;Design and deploy autonomous AI agents to review design changes, resolve conflicts, and triage elaboration and simulation errors.<br>
<br>
Develop AI-driven workflows to flag simulation performance and design concerns, automatically tune design parameters, and explore optimization candidates autonomously.<br>
<br>
Apply internal and external EDA tools (e.g., Logic Equivalence Checking, wave dumps, design libraries) to automatically diagnose issues and explore design alternatives.<br>
<br>
Build and maintain AI harnesses, scripts, and infrastructure to support continuous research and experimentation.<br>
<br>
Conduct data-driven experimentation to optimize prompts and harnesses; measure and improve token efficiency, task completion, and hallucination rates.<br>
<br>
Track and evaluate emerging machine learning and Large Language Model (LLM) use cases in the broader industry for application in silicon design workflows.<br>
<br>
Occasionally travel (approximately once a year) to collaborate with development groups in the US.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Master&rsquo;s in Computer Science, Electrical Engineering, or a related AI/Hardware field.<br>
<br>
Hands-on experience with Design Verification tasks requiring application of EDA tools, including Logic Equivalence Checking (LEC), linting / static analysis tools, waveform debugging, and simulation / emulation flows.<br>
<br>
Familiarity with Verilog, SystemVerilog, or architecting HDL testbenches for functional verification.<br>
<br>
Experience developing software tools for co-simulating designs across multiple high-performance platforms.<br>
<br>
Comfortable exploring unfamiliar codebases, researching cutting-edge techniques, and rapidly prototyping automated solutions.<br>
<br>
Experience applying research methods: literature review, data-driven experimentation, analyzing results.<br>
<br>
Strong communication skills, with the ability to collaborate effectively with cross-functional silicon engineering, design verification, and EDA development teams.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelor&rsquo;s degree in Computer Science, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience).<br>
<br>
Experience in one of the following two areas: Applied AI (experience building, deploying, and maintaining LLM-based applications, agentic workflows, or advanced prompt engineering, combined with an entry-level familiarity with EDA tools or hardware verification concepts), or EDA/Silicon (experience with RTL design, simulation, or hardware emulation platforms, combined with a demonstrated track record of working in research-oriented roles applying software automation or ML to hardware problems).<br>
<br>
Experience with scripting, infrastructure development, and software engineering (e.g., Python, C/C++).<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Applied AI Engineer (EDA), Platform Architecture

The Hartford

<div><h2 class="jobSectionHeader"><b>Job Details</b></h2>
<div><div><div>Location:</div>
<div>Chicago, IL</div>
</div><div><div>Category:</div><div>
Data &amp; Analytics</div>
</div><div><div>Employment Type:</div>
<div>Full time
</div></div><div><div>Job Ref:</div><div>
R2625795-172</div>
</div></div><p></p><div><div>Data Engineer - GE08AE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><div>The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team.<br>
The Hartford is developing industry‑leading AI and machine learning capabilities to improve the various facets of the Global Specialty underwriting experience. On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to accelerate the processes that our partners touch day to day and advance the speed and intelligence with which we make our decisions. As a Machine Learning AI Engineer, you will play a key role in contributing to the designing, building, and operationalizing production‑grade AI solutions&mdash;partnering closely with product, engineering, and platform leaders to deliver measurable impact.<br>
<br>
Our core values<br>
<ul><li>We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.</li><li>We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.</li><li>We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.</li><li>We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.</li><li>We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.</li></ul><br>
Responsibilities<br>
<ul><li>Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.</li><li>Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.</li><li>Accountable for deployment design, development and maintenance of both traditional ML and AI models.</li><li>Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams</li><li>Delivery of critical milestones for model deployment in the AWS and GCP cloud environments.</li><li>Adopt and promote MLOps best practices to the Data Science community.</li></ul><br>
Minimum Requirements<br>
<ul><li>Must be authorized to work in the U.S. now and in the future.</li><li>1+ years of equivalent experience in a research or DevOps function.</li><li>Development experience developing solutions within AWS, GCP or both.</li><li>Exposure to developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.</li><li>Familiarity with building and deploying API services within the Cloud.</li><li>Familiarity building CICD pipelines using Jenkins or equivalent</li><li>Exposure with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents</li><li>Experience in Unix, git, and strong object oriented development experience using Python</li><li>Exposure to with workflow automation platforms (Apache Airflow, Autosys, similar)</li><li>Basic understanding of Data Science model development life cycle</li></ul></div><ul><li>Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM&rsquo;s into automated processes</li></ul><p>
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).</p><p>
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$100,960 - $151,440<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div></div></div><p></p>

AI Machine Learning Engineer

Direct Supply

<div><div><div><p><b>About the Role
</b></p></div><div><p>Direct Supply is building AI systems that change how care is delivered to millions of seniors and support the people who care for them. We're hiring engineers to design, ship, and operate those systems in production.
</p></div><div><p>This role spans the full product lifecycle: discovery, experimentation, application delivery, and deployment. You'll work directly with customers and product teams, own technical calls, and see your product used at scale .
</p></div><div><p>We expect technical rigor, architecture discipline , strong product judgment, and a track record of shipping. In return, you get autonomy and real customer impact.<br>
</p></div><p></p><div><p><b>What </b><b>You&rsquo;ll </b><b>Do
</b></p></div><div><ul><li><p>Design, build, and operate systems in customer-facing production environments
</p></li></ul></div><div><ul><li><p>Translate ambiguous business and customer problems into prototypes &amp; technical specs
</p></li></ul></div><div><ul><li><p>Track AI capabilities and apply them where they create clear leverage
</p></li></ul></div><div><ul><li><p>Own the full application lifecycle: product d iscovery , experimentation, evaluation, deployment, and monitoring
</p></li></ul></div><div><ul><li><p>Own system design, tradeoffs, and long-term scaling and maint ainability
</p></li></ul></div><div><ul><li><p>Build code bases that are legible to agents and other developers ; drive the organization forward on tooling .
</p></li></ul></div><div><ul><li><p>Partner with product managers to enhance their product vision , including with AI-native solutions<br>
</p></li></ul></div><p></p><div><p><b>What </b><b>We&rsquo;re </b><b>Looking For
</b></p></div><div><ul><li><p>Strong applied AI and software engineering fundamentals
</p></li></ul></div></div><div><div><ul><li><p>Builders who can span tech , product, and design thinking with high autonomy
</p></li></ul></div><div><ul><li><p>Bias for shipping, iterating, and following customer feedback over polish
</p></li></ul></div><div><ul><li><p>High ownership &amp; agency &mdash; measured by outcomes, not deliverables
</p></li></ul></div><div><ul><li><p>Curiosity to improve systems, products, and your own craft<br>
</p></li></ul></div><p></p><div><p><b>What We Work In
</b></p></div><div><p>You don't need every one of these, but this is the stack you'll be productive in:
</p></div><div><ul><li><p>P ython, C#, TypeScript , PostgreSQL ;
</p></li></ul></div><div><ul><li><p>Frontier model ecosystems &amp; agent frameworks (e.g., Anthropic, OpenAI)
</p></li></ul></div><div><ul><li><p>Docker, Terraform, and AWS<br>
</p></li></ul></div><p></p><div><p><b>Minimum Qualifications
</b></p></div><div><ul><li><p>2+ years in software engineering or applied AI
</p></li></ul></div><div><ul><li><p>Experience working with AI development tools in f ull-stack applications
</p></li></ul></div><div><ul><li><p>Experience designing AI-based solutions to real workflows
</p></li></ul></div><div><ul><li><p>Working knowledge of cloud and frontier AI platforms<br>
</p></li></ul></div><p></p><div><p><b>Nice to Have
</b></p></div><div><ul><li><p>Degree in Computer Science, Engineering, Data Science, or a related field
</p></li></ul></div><div><ul><li><p>Experience operating AI systems in production , with attention to evaluation, cost, and performance tradeoffs
</p></li></ul></div><div><ul><li><p>Background in high-ambiguity environments with proximity to customers ( e.g ., early-stage startups, forward-deployed engineering, internal product teams)
</p></li></ul></div><div><ul><li><p>Experience in large-scale Python, C#, and TypeScript codebases
</p></li></ul></div><div><ul><li><p>Experience integrating AI solutions into existing, established products.
</p></li></ul></div><div><ul><li><p>Experience working with healthcare, regulated, or sensitive data
</p></li></ul></div></div><p><i>Job to be performed in the location listed. Generous benefit package available.
</i></p><p></p><p><i>&copy; 2013 to 2026 Direct Supply, Inc. All rights reserved.</i></p></div>

AI Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction. In this role, you'll apply strong technical judgment to choose the right approaches (including modern <b>LLM-based</b> methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are <b>reliable, secure, and scalable</b> in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.</p>
<p>As an Applied AI Engineer-Senior Associate within the Consumer &amp; Community Banking Machine Learning team, you will work with agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.</p>
<p><b>Job Responsibilities</b></p>
<ul><li>Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors</li>
<li>Develops secure and high-quality production code, and reviews and debugs code written by others</li>
<li>Drives decisions that influence the product design, application functionality, and technical operations and processes</li>
<li>Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle</li>
<li>Influences peers and project decision-makers to consider the use and application of leading-edge technologies</li>
<li>Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture</li>
<li>Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions</li>
<li>Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies</li>
<li>Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics</li>
<li><p>Promote software and model quality, integrity, and security across the organization</p>
</li></ul><p></p><p><b>Required qualifications, capabilities, and skills</b></p>
<ul><li>Undergraduate and master's degrees in Computer Science or similar , with training and work experience in LLM/NLP and search.
</li><li>Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments</li>
<li>Experience in machine learning frameworks, ML Ops tools and practices.
</li><li>Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)</li>
<li>Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
</li><li><p>Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)<b>
</b></p></li></ul><p></p><p><b>Preferred qualifications, capabilities, and skills</b></p>
<ul><li><p>Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
</p></li></ul><p></p><b>ABOUT US</b><br>
<br>
<br>
<p>Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><p></p><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p></p><p>Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Applied AI ML-Senior Associate

Valence

<div><p>Valence has built the only first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We&rsquo;re not just talking about the future of work &mdash; we&rsquo;re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology.</p><p>
Learn more about our work with Microsoft: Valence Brings AI Coaching More Deeply Into the Flow of Work with Microsoft 365</p><p>
Our focus is on the problems that actually decide whether AI changes how organizations operate &mdash; the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance.</p><p>
And this isn&rsquo;t for everyone. We&rsquo;re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what&rsquo;s possible, who get bored when things feel &ldquo;done,&rdquo; and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself.</p><div></div><p><b><br>
The Role</b></p><p>
As a Platform Engineer at Valence, you will build and operate the secure, reliable, and scalable foundation that lets every product and AI team ship Nadia innovations faster and with lower risk. Platform Engineering is Valence's force multiplier: we own the shared control planes for trust and safety, global access and routing, LLM governance, deployment automation, workload isolation, observability and SLOs, and AI-native engineering execution.</p><p>
Your mandate is simple: increase shipping velocity and customer trust at the same time, by making the safe path the default path. You'll build the paved roads every team uses in production, and enforce minimum production standards through templates, CI/CD gates, scorecards, and time-bound exceptions, so every service is observable, reversible, and secure by default.</p><p>
We don't expect any one candidate to check every technical box, but we do look for engineers who are eager to learn, iterate rapidly, and contribute across challenges that span reliability, security, global delivery, and developer experience.</p><div></div><p><b><br>
About Valence</b></p><p>
We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.</p><div></div><p><br>
We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestl&eacute;, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.</p><div></div><p><br>
Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.</p><p></p><p><b>
What You'll Do</b></p><ul><li><p><b>
Build the paved roads.</b> Design and operate shared platform primitives used by multiple teams (authorization and routing guardrails, secure logging, rollout controls, observability, queue infrastructure, and the centralized LLM gateway) so teams build on standards instead of reinventing them.</p></li><li><p><b>
Make change safe by default.</b> Own the reliability and change-safety systems that let the org move fast without breaking trust: CI/CD gates, migration safety patterns, progressive delivery, rollback automation, and kill switches.</p></li><li><p><b>
Enforce security at the platform layer.</b> Ship secure defaults, policy enforcement frameworks, auditability, and data-access guard libraries so the safe path is the easy path.</p></li><li><p><b>
Run global delivery controls.</b> Implement single-domain strategy, region pinning and routing, residency-aware behavior, and cross-region config consistency checks for enterprise customers worldwide.</p></li><li><p><b>
Raise the operational bar.</b> Establish SLOs, synthetic checks, alerting standards, and incident runbooks and drills that drive faster detection and recovery.</p></li><li><p><b>
Build the internal developer platform.</b> Create service templates, blessed internal-tool paths, and standard deploy, monitoring, and auth patterns that make the right thing the default thing.</p></li><li><p><b>
Operate an AI-native engineering plane.</b> Build issue-to-PR automation infrastructure with governance, human-in-control workflows, and audit logs that convert signals into auditable, human-approved execution outcomes.</p></li></ul><p></p><p><b>
What We're Looking For</b></p><ul><li><p><b>
Technical foundation:</b> 8+ years of experience in software engineering, distributed systems, infrastructure, or platform/SRE roles, with a track record of building systems other teams depend on.</p></li><li><p><b>
Platform mindset:</b> You build reusable primitives, not one-off features. You think in terms of paved roads, secure defaults, and standards that scale across many teams.</p></li><li><p><b>
Reliability and change-safety expertise:</b> Hands-on experience with CI/CD, progressive delivery, rollback and migration safety, observability, SLOs, and incident response.</p></li><li><p><b>
Cloud &amp; deployment experience:</b> Comfortable developing and operating services in cloud environments (AWS, GCP, Azure) and working with containerization and orchestration (Docker, Kubernetes).</p></li><li><p><b>
Security &amp; compliance awareness:</b> Familiarity with implementing platform-level guardrails (authorization, auditability, data-access controls, and policy enforcement) in a privacy- and residency-conscious way.</p></li><li><p><b>
Engineering excellence:</b> Strong software engineering skills, including writing maintainable code, debugging distributed systems, and collaborating in cross-functional teams.</p></li><li><p><b>
Growth orientation:</b> Eagerness to tackle unfamiliar problems, learn new technologies, and shape our platform and culture.</p></li><li><p><b>
Communication:</b> Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders.</p></li></ul><p></p><p><b>
What You'll Get</b></p><ul><li><p><b>
Ownership &amp; Rapid Growth</b></p></li><li><p>
Outsized missions from day one, with direct responsibility for company-defining projects</p></li><li><p>
Work alongside the executive team with transparency into strategy and decision-making</p></li><li><p>
Influence on direction through real-time customer feedback and market insights</p></li></ul><div></div><ul><li><p><b><br>
AI-First Operator</b></p></li><li><p>
Work directly with cutting-edge AI models and next-generation platforms</p></li><li><p>
Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries</p></li><li><p>
Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale</p></li></ul><div></div><ul><li><p><b><br>
Compensation</b></p></li><li><p>
Competitive salary including base + bonuses</p></li><li><p>
Comprehensive health coverage (medical, dental, vision) from day one</p></li><li><p>
Generous PTO, company-wide R&amp;R shutdowns, and paid parental leave</p></li><li><p>
Retirement plan support for US and global employees</p></li></ul><div></div><ul><li><p><b><br>
Equity</b></p></li><li><p>
Meaningful ownership in a venture-backed company at a growth inflection point</p></li><li><p>
Financial upside that comes from scaling fast</p></li><li><p>
Top-up grants as we scale and you deliver exceptional performance &mdash; your compensation grows alongside your impact</p></li></ul><div></div><ul><li><p><b><br>
Top-Performing Culture</b></p></li><li><p>
A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together</p></li></ul><div></div><p><b><br>
Learn more about us and meet our team </b><b>here</b></p><p></p><p><b>
Location and Work Environment</b></p><p>
If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.</p><div></div><p><b><br>
Diversity and Inclusion</b></p><p>
We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co.</p><div></div><p><b><br>
Employment Verification &amp; Commitment</b></p><p>
We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full-time role that requires a high level of focus, availability, and commitment. Employees may not hold concurrent full-time employment with another organization while employed at Valence. Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest - including risks related to confidentiality, intellectual property, or competition.</p><p></p><p><i>
Valence is committed to protecting the privacy of all applicants. Information you submit will be used for recruiting, evaluation, legal compliance, and recordkeeping purposes only. We do not require access to personal account credentials at any stage of the hiring process. For more information, see our </i><i>Candidate Privacy Notice</i><i>.</i></p><div></div><p><br>
#LI-HYBRID</p></div>

Staff Software Engineer, Platform

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

Search 3321+ Applied ai engineer jobs near you this June. New roles added regularly across leading industries. Apply today.