ai engineering lead

black.ai

<p></p><b>Company Description </b> <p><b>Join the team redefining how the world experiences design. </b> </p> <p>Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! </p> <p>Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. </p> <p><b>Where and how you can work </b> </p> <p>Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth, Adelaide and Auckland. But you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. </p> <b>Job Description </b> <p><b>What you'd be doing in this role: </b> </p> <p>As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve. </p> <p><b>At the moment, this role is focused on: </b> </p> <ul> <li>Defining and delivering the long-term AI platform strategy, aligning technical direction with Canva's broader product and AI research vision. </li> <li>Defining and delivering the next-generation AI platform, transforming how AI is developed, evaluated, and deployed at global scale. </li> <li>Partnering with leaders across Engineering, Product, and Data to ensure AI enablement across Canva's ecosystem. </li> <li>Coaching and developing a diverse team of engineering leads and senior engineers across our global workforce to achieve technical excellence at scale. </li> <li>Ensuring the AI Platform remains reliable, secure, and performant while enabling rapid innovation. </li> <li>Acting as a visible champion for AI and platform excellence across Canva and the wider engineering community. </li> </ul> <p><b>You're probably a match if </b> </p> <ul> <li><p>You're a platform believer and technical innovator at heart, driven to lead and expand foundational AI capabilities at scale that redefine what's possible. </p> </li> <li><p>You've successfully led large-scale engineering or platform teams in AI/ML, data, or infrastructure domains. </p> </li> <li><p>You have deep technical expertise in modern AI platforms, distributed systems, or cloud-native architectures. </p> </li> <li><p>You anticipate challenges before they arise and bring clarity and direction to complex, cross-functional problems. </p> </li> <li><p>You're known for visible, forward-leaning leadership - shaping direction early and rallying people behind shared goals. </p> </li> <li><p>You balance autonomy with visibility - managing up and across senior leadership confidently and transparently. </p> </li> <li><p>You build cultures of accountability, empowerment, and support, where teams thrive on trust and ownership. </p> </li> </ul> <p><b>About the team </b><br>At Canva, we empower everyone to design, using technology to simplify challenges and enhance the enjoyable parts of the design process. Our Generative AI (GenAI) supergroup exists to make Canva feel less like a tool, but more like a creative partner that wows - an AI collaborator that understands your intent, amplifies your ideas, and helps the world create with joy. You can see our recent launches in </p> <p>The AI Platform Group is a key part of Canva's Generative AI Supergroup and broader AI ecosystem, laying the technical foundation for Canva's next wave of transformative AI experience. From massively scalable model serving infrastructure to next-generation training and evaluation platforms, we enable thousands of engineers and product teams to create innovative, responsible, and reliable AI features used by millions around the world. </p> <p><b>What's in it for you? </b> </p> <p>Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. </p> <p><b>Here's a taste of what's on offer: </b> </p> <ul> <li><p>Equity packages - we want our success to be yours too </p> </li> <li><p>Inclusive parental leave policy that supports all parents & carers </p> </li> <li><p>An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more </p> </li> <li><p>Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally </p> </li> </ul> <p>Check out for more info. </p> <p><b>Other stuff to know </b> </p> <p>We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. </p> <p>We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! </p> <p>Please note that interviews are conducted virtually. </p> <p></p>

Engineering Director - AI Platform (ANZ Remote)

Revolut

<div><b>About Revolut</b><p></p><p>
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 65+ million customers get more from their money every day.</p><p>
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.</p><p></p><b>
About the role</b><p></p><p>
Our Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do.</p><p>
We&rsquo;re looking for a Head of AI Engineering to provide technical oversight, lead major projects, and act as a functional manager. You'll be building and leading excellent engineering teams, and collaborating cross-functionally with Product Owners and business heads to make sure company projects and goals are achieved.</p><p>
Watch this video to discover how our Engineering department is structured and what we expect from our brilliant team members.
</p><p>Up to break the barriers of what's next in finance? Let&rsquo;s get in touch.</p><p></p><b>
What you'll be doing</b><p></p><ul><li>
Leading and mentoring a diverse team of 50+ engineers, providing guidance and direction on best practices and technical decisions</li><li>
Owning the product and solution architecture with a key focus on quality control and code optimisation</li><li>
Collaborating with cross-functional teams to improve engineering processes and raise the bar on quality and efficiency</li><li>
Influencing best practices to ensure they're followed across the company</li><li>
Collaborating with senior leadership and key stakeholders to define and execute the technical roadmap aligned with business goals</li><li>
Optimising and reviewing team performance, aiming to increase the quality of engineering as a functional leader</li><li>
Playing a key role in the hiring process</li></ul><p></p><b>
What you'll need</b><p></p><ul><li>
A bachelor's degree (or above) in computer science, maths, physics, or a similar area of study</li><li>
Experience building and leading a software engineering team within a scaling organisation</li><li>
Impressive software architecture skills, with experience in scalable distributed systems</li><li>
Big-picture thinking to correctly diagnose problems and build innovative solutions</li><li>
Excellent communication and collaboration skills</li></ul><p></p><b>
Nice to have</b><p></p><ul><li>
Hands-on experience with JVM languages</li><li>
Experience in a startup or scale-up</li><li>
Experience operating AI infrastructure and optimising LLM inference and training at scale</li><li>
A deep understanding of GPU architecture and CUDA programming</li></ul><p></p><p><i>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.</i></p><p><b><i>
Important notice for candidates:</i></b></p><p><i>
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.</i></p><ul><li><b><i>Only apply through official Revolut channels.</i></b><i> We don&rsquo;t use any third-party services or platforms for our recruitment.</i></li><li><b><i>Always double-check the emails you receive.</i></b><i> Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</i></li></ul><p><b><i>
We won't ask for payment or personal financial information during the hiring process.</i></b><i> If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.</i></p><p><i>
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's </i><i>Candidate Privacy Notice</i></p></div>

Head of AI Engineering

HUMAIN

<div>
 <p>
  <strong>
   Location
  </strong>
  : Riyadh, Saudi Arabia
 </p>
 <p>
  <strong>
   Reports To
  </strong>
  : President, AI Compute BU
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Head of Product &ndash; AI Edge Devices will be responsible for leading Humain&rsquo;s AI edge product portfolio, including AI PCs, AI-powered cameras, smart glasses, drones, and AI home assistants. This executive role will drive the end-to-end product lifecycle, owning product development, engineering execution, technical sales enablement, and full P&amp;L accountability.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The successful candidate will combine deep technical expertise, product leadership, and commercial acumen to bring cutting-edge AI devices to global markets, ensuring they are not just visionary but deliver measurable impact at scale.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Product Leadership &amp; Development
  </strong>
 </p>
 <p>
  &bull; Define the product vision, roadmap, and strategy for Humain&rsquo;s AI Devices portfolio.
 </p>
 <p>
  &bull; Drive requirements gathering, design, and innovation of hardware-software integrated
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   products
  </strong>
  (AI PCs, cameras, smart glasses, drones, AI home assistants).
 </p>
 <p>
  &bull; Ensure seamless integration with Humain&rsquo;s AI platforms, cloud infrastructure, and
  <strong>
   ecosystem.
  </strong>
 </p>
 <p>
  &bull; Translate customer needs and market trends into differentiated products.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Engineering &amp; Execution
  </strong>
 </p>
 <p>
  &bull; Lead cross-functional engineering teams (hardware, firmware, software, AI integration).
 </p>
 <p>
  &bull; Oversee design, prototyping, testing, and readiness for mass production.
 </p>
 <p>
  &bull; Implement world-class product development processes with speed, scalability, and
  <strong>
   quality.
  </strong>
 </p>
 <p>
  &bull; Ensure regulatory, compliance, and safety standards are met globally.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Sales &amp; Market Enablement
  </strong>
 </p>
 <p>
  &bull; Partner with sales and business development teams to drive adoption and revenue
  <strong>
   growth
  </strong>
  .
 </p>
 <p>
  &bull; Provide technical leadership in customer engagements, showcasing product capabilities.
 </p>
 <p>
  &bull; Develop strategic relationships with OEMs, chipset vendors, ODMs, and distribution
  <strong>
   partners.
  </strong>
 </p>
 <p>
  &bull; Equip go-to-market teams with tools, demos, and narratives to win in both enterprise and consumer markets.
 </p>
 <p>
  <strong>
   Financial &amp; P&amp;L Ownership
  </strong>
 </p>
 <p>
  &bull; Own full P&amp;L for the AI Devices BU.
 </p>
 <p>
  &bull; Define pricing, cost, and margin strategies to ensure profitable growth.
 </p>
 <p>
  &bull; Manage budgets, forecasts, and capital allocation.
 </p>
 <p>
  &bull; Drive operational efficiency, supply chain resilience, and scale economics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  &bull; Experience: 15+ years in product development, hardware/software engineering, or AI-enabled device leadership, with at least 5 years in an executive role owning P&amp;L.
 </p>
 <p>
  &bull; Expertise: Strong background in AI devices, consumer electronics, or edge computing. Experience with smart home products, robotics, or IoT ecosystems is highly desirable.
 </p>
 <p>
  &bull; Leadership: Proven ability to lead multi-disciplinary teams (engineering, product, sales) across global geographies.
 </p>
 <p>
  &bull; Commercial Acumen: Track record of launching and scaling device businesses with measurable financial success.
 </p>
 <p>
  &bull; Visionary &amp; Hands-on: Ability to think strategically about future AI edge applications while diving deep into technical and execution details.
 </p>
 <p>
  &bull; Education: Bachelor&rsquo;s degree in engineering, Computer Science, or related field (MBA or advanced technical degree preferred).
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Humain?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Humain, we are not a marketing company&mdash;we are a technology company building at the frontier of AI. The AI Devices BU is at the heart of our mission to bring AI into everyday life, from AI PCs powering local LLMs, to smart glasses that redefine human interaction, to AI home assistants transforming the way people live, to drones reshaping industries.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is an opportunity to lead one of the most ambitious AI device portfolios in the world
 </p>
 <p>
  designed in the Kingdom, built for global impact.
 </p>
</div>


Head of Product – AI Edge Devices

Pfizer

<div></div><div><div>ROLE SUMMARY</div><div></div><div>
The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) is the single, business-led engine that owns the design, delivery, and scale-up of priority AI capabilities across Commercial. AIA works in tight collaboration with various Pfizer functions to deploy and maintain production-grade AI solutions that simplify how we work and drive measurable value across all processes.</div><div></div><div>
As a Technical Lead in the newly formed AIA team, we are looking for a hands-on solution architect to lead the design and implementation of end-to-end agentic AI solutions at enterprise scale. This role requires expertise across AI architecture, cloud engineering, data platforms, MLOps/LLOps and product thinking. The ideal candidate should be comfortable engaging directly with business stakeholders, translating ambiguous needs into technical solutions, developing MVPs and guiding engineering team toward scalable delivery.</div><div></div><div>
Role Responsibilities</div><div></div><div>
Solution Design &amp; Architecture</div><ul><li><div>
Architect enterprise-grade AI solutions integrating LLMs, RAG, autonomous agents, vector search, orchestration frameworks, APIs and UI layers</div></li></ul><ul><li><div>
Implements scalable E2E AI pipelines- data-&gt; semantic layer-&gt; embeddings-&gt; vector DB-&gt; inference-&gt; monitoring</div></li><li><div>
Own architecture documentation, solutions diagrams and technical decision logs</div></li><li><div>
Act as player coach-able to prototype agents, build POCs and guide engineering teams production systems</div></li></ul><div>
Cross-Functional Collaboration</div><ul><li><div>
Partner with Product Owners, Data Scientists, Engineers, and Business Stakeholders to translate requirements into technical solutions.</div></li></ul><ul><li><div>
Facilitate workshops and design sessions to gather insights and co-create technical solution blueprints.</div></li></ul><ul><li><div>
Ensure integration of AI solutions with existing enterprise systems and data environment. Push boundaries of technical innovation at the enterprise level.</div></li></ul><div>
Technical Leadership &amp; Governance</div><ul><li><div>
Define and enforce architectural standards, best practices, and design patterns for AI and digital health solutions.</div></li></ul><ul><li><div>
Set the standard for and lead technical reviews, risk assessments, and design validations.</div></li></ul><ul><li><div>
Ensure solutions adhere to data privacy, security, and regulatory requirements (e.g., HIPAA, GDPR, ANVISA, COFEPRIS).</div></li><li><div>
Ensure security, scalability, privacy safeguards, hallucination risk control and responsible AI implementation</div></li><li><div>
Establish guardrails for model usage, evaluation metrics, monitoring and fallback plans</div></li></ul><div>
Innovation &amp; Emerging Technologies</div><ul><li><div>
Stay abreast of emerging AI technologies, platforms, and trends relevant to healthcare and life sciences.</div></li></ul><ul><li><div>
Evaluate and prototype new tools (e.g., LLMs, federated learning, edge AI) for potential adoption.</div></li></ul><ul><li><div>
Drive innovation by identifying opportunities for AI to enhance patient outcomes, operational efficiency, and market differentiation.</div></li></ul><ul><li><div>
Documentation &amp; Knowledge Management</div></li></ul><ul><li><div>
Develop and maintain comprehensive architecture documentation, including diagrams, data flows, and technical specifications.</div></li></ul><ul><li><div>
Create reusable solution templates and reference architectures for future projects. Develop platform strategies to empower teams with consistent and re-usable patterns</div></li></ul><ul><li><div>
Contribute to internal knowledge bases and technical communities of practice.</div></li></ul><ul><li><div>
Vendor &amp; Partner Engagement</div></li></ul><ul><li><div>
Assess and manage relationships with external technology vendors, cloud providers, and implementation partners.</div></li></ul><ul><li><div>
Lead technical due diligence and integration planning for third-party AI solutions.</div></li></ul><ul><li><div>
Ensure vendor solutions align with internal architecture and compliance standards.</div></li></ul><div></div><div>
BASIC QUALIFICATIONS</div><ul><li><div>
Bachelor&rsquo;s degree in Computer Science, Engineering, data Science or related field.</div></li><li><div>
9+ years of relevant experience in AI/ML/Data/SaaS engineering roles with 2+ years in architecture capacity</div></li><li><div>
Proven experience in designing and deploying AI solutions in healthcare or regulated industries.</div></li><li><div>
Deep understanding of cloud platforms (e.g., Azure, AWS, GCP), microservices, APIs, and data engineering.</div></li><li><div>
Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch), MLOps, and model lifecycle management.</div></li><li><div>
Hands-on experience with</div></li></ul><ul><li><div>
Data Tech: Snowflake/Kafka/Spark</div></li><li><div>
APIs &amp; Microservices: Python, FastAPI, REST</div></li><li><div>
MLOps/LLMOps: MLflow, Vertex AI</div></li><li><div>
LLMs, RAG, LangGraph/OpenAI</div></li></ul><ul><li><div>
Excellent communication, stakeholder management, and analytical skills.</div></li><li><div>
Strong knowledge of agile methodologies and DevOps practices.</div></li></ul><div>
Preferred Qualifications:</div><ul><li><div>
Master&rsquo;s degree or PhD in Computer Science, Data Science, or related field.</div></li><li><div>
Experience in pharmaceutical or healthcare technology environments.</div></li><li><div>
Experience with Agentic AI frameworks (CrewAI, AutoGen, Hugging Face agents, OpenAI workflows)</div></li><li><div>
Familiarity with compliance standards such as GxP, HIPAA, and data privacy regulations.</div></li><li><div>
Knowledge of enterprise workflow tools &ndash; Salesforce, ServiceNow, SAP, Veeva etc</div></li><li><div>
Demonstrated success in deploying AI or ML solutions in production environments.</div></li></ul><div></div><div>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Information &amp; Business Tech</div><div></div>

Senior Manager, Technical Lead

CODEX

<div>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Team Leadership &amp; Management
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Lead, mentor, and conduct performance reviews for an AI team.
  </li>
  <li>
   Oversee the team's workflow (Agile/Scrum), ensuring efficient delivery, high code quality, and robust CI/CD/MLOps practices.
  </li>
  <li>
   Manage project planning, resource allocation, and timeline estimation for AI initiatives.
  </li>
  <li>
   Translate high-level business objectives into technical roadmaps for AI and Data Science products.
  </li>
  <li>
   Drive high-level architectural decisions, selecting the right tools, frameworks, and cloud infrastructure to ensure scalability and performance.
  </li>
  <li>
   Stay ahead of the curve on AI trends and guide the team in moving valid PoCs into production.
  </li>
  <li>
   Provide expert guidance on complex problems and mentor team members on technical challenges.
  </li>
  <li>
   Ensure the reliability and scalability of data pipelines, labeling processes, and model deployment strategies.
  </li>
  <li>
   Collaborate with Product Managers and other Engineering Leads to ensure cross-functional alignment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AI Development &amp; Architecture
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Build AI infrastructure, including model serving, monitoring, and observability systems.
  </li>
  <li>
   Design and build AI Agents capable of complex reasoning, multi-step planning, and tool execution.
  </li>
  <li>
   Lead the development of RAG systems and agent memory services.
  </li>
  <li>
   Design and develop multi-agent systems where specialized agents collaborate to execute workflows, manage state, and handle error recovery autonomously.
  </li>
  <li>
   Lead the fine-tuning and alignment of commercial and open-source LLMs for domain-specific tasks.
  </li>
  <li>
   Design ML models and statistical algorithms for user behavior analysis, segmentation, and personalization.
  </li>
  <li>
   Design recommendation systems, including collaborative filtering, content-based methods, and deep learning-based approaches.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   BSc degree in Computer Engineering, AI, Mathematics, or a related field (MSc/PhD preferred).
  </li>
  <li>
   Minimum of
   <strong>
    7 years of professional experience
   </strong>
   in Data Science, MLOps, and AI development after bachelor graduation.
  </li>
  <li>
   Currently holding a senior or lead-level position.
  </li>
  <li>
   Strong proficiency in Python programming and data science libraries.
  </li>
  <li>
   Experience with recommendation systems algorithms and concepts.
  </li>
  <li>
   Hands-on experience with frameworks for building and integrating RAG and LLM-based applications.
  </li>
  <li>
   Proficiency with CI/CD processes and MLOps best practices.
  </li>
  <li>
   Proficiency in written and spoken English.
  </li>
  <li>
   Ability and motivation to self-teach, enter new domains, and manage ambiguity.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred / Nice-to-have Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   MSc or Ph.D. in Artificial Intelligence or Data Science.
  </li>
  <li>
   Certifications or deep experience with AWS/GCP/Azure AI services.
  </li>
  <li>
   Published papers or active contributions to the open-source AI community.
  </li>
  <li>
   Experience with model monitoring, A/B testing frameworks, and production ML systems at scale.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Interview Process
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ol>
  <li>
   <strong>
    Phone Screening:
   </strong>
   Initial discussion to review experience and leadership fit.
  </li>
  <li>
   <strong>
    Technical Assessment:
   </strong>
   A challenging assessment covering system design and algorithmic problem-solving.
  </li>
  <li>
   <strong>
    Final Interview:
   </strong>
   Discussion with Engineering Management/C-Level regarding vision and cultural fit.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Important Note
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Candidates must have at least
  <strong>
   7 years of professional experience
  </strong>
  in AI/Data Science after graduation and currently hold a senior or lead-level position. Candidates with less experience will not be considered for this Team Lead role.
 </p>
</div>


Artificial Intelligence Team Lead

Ascension

<div><h3 class="jobSectionHeader"><b>Details
</b></h3><ul><li><b>Department: </b>Growth Marketing Digital Experience (GMDx)</li><li><b>
Schedule: </b>Monday - Friday, 8 hour shift</li><li><b>
Location: </b>Remote</li><li><b>
Salary: </b>$146,000 - $248,200</li><li>
Eligible for annual bonus incentive</li></ul><h3 class="jobSectionHeader"><b><br>
Benefits
</b></h3><div>Paid time off (PTO)<br>
Various health insurance options &amp; wellness plans<br>
Retirement benefits including employer match plans<br>
Long-term &amp; short-term disability<br>
Employee assistance programs (EAP)<br>
Parental leave &amp; adoption assistance<br>
Tuition reimbursement<br>
Ways to give back to your community</div><div></div><div><i><br>
Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance, location and salary range at the time of the offer.</i></div><h3 class="jobSectionHeader"><b><br>
Responsibilities
</b></h3><div>Accelerate Ascension&rsquo;s journey to transform healthcare for those we serve and those who serve by delivering brand-wide digital experiences powered by people, design, data, AI, and technology.</div><div></div><div><br>
You will be a change agent in the software engineering organization, responsible for engineering delivery with quality and speed across multiple digital products, while driving operational excellence. In addition to core engineering leadership, this role will lead the adoption, governance, and scaling of AI-enabled capabilities (including generative AI, and intelligent automation) across digital products and platforms. Success in this role ensures high-quality technical delivery, responsible AI implementation, and a culture of continuous innovation and engineering excellence.</div><div></div><div><b><br>
Responsibilities</b><br>
<b>Engineering Leadership &amp; Delivery</b></div><ul><li>
Lead engineering teams for multiple strategic digital products, accountable for planning, delivery, quality, reliability, and operations.</li><li>
Partner closely with Product, Experience, Architecture, Data, Security, and Program leadership to drive outcomes, roadmaps, and release timelines.</li><li>
Own technical design decisions, including functional and non-functional requirements such as scalability, security, performance, and resiliency.</li><li>
Communicate engineering and AI vision, strategy, delivery plans, and progress to executive and senior stakeholders.</li></ul><div><b>
AI &amp; Intelligent Systems Leadership</b></div><ul><li>
Define and execute the AI engineering strategy for digital products, aligned with Ascension&rsquo;s enterprise AI, data, privacy, and security strategies.</li><li>
Lead the design, development, and productionization of AI-enabled solutions, leveraging:<br>
<ul><li>
Generative AI (LLMs, copilots, conversational interfaces)</li><li>
Intelligent search, personalization, and recommendations</li><li>
Workflow automation and decision support</li></ul></li><li>
Establish best practices for LLMOps, including model lifecycle management, prompt engineering, evaluation, monitoring, and retraining.</li><li>
Ensure responsible AI practices, including explainability, bias mitigation, data privacy, regulatory compliance (HIPAA, healthcare AI guidance), and human-in-the-loop controls.</li><li>
Evaluate and govern AI platforms, tools, and vendors (cloud AI services, open-source frameworks, model providers).</li></ul><div><b>
Engineering Excellence &amp; Modern Practices</b></div><ul><li>
Lead by example in building high-quality, maintainable, secure, and performant systems using cloud-native and AI-enabled architectures.</li><li>
Drive shift-left practices across testing, security, observability, performance, and AI quality evaluation.</li><li>
Foster strong peer review, architecture review, and model review cultures.</li><li>
Champion reuse of shared platforms, APIs, data products, and AI components.</li></ul><div><b>
Operational Excellence &amp; DevSecOps</b></div><ul><li>
Embed DevSecOps, Infrastructure as Code, CI/CD, and automated quality gates across software and AI pipelines.</li><li>
Drive a strong SRE and production ownership mindset, including incident response, reliability engineering, and cost optimization.</li><li>
Implement metrics-driven product and AI health reporting (availability, latency, quality, model performance, cost, and adoption).</li></ul><div><b>
Thought Leadership &amp; Innovation</b></div><ul><li>
Contribute to Ascension GMDx&ndash;wide engineering and AI strategy, standards, frameworks, and reference architectures.</li><li>
Stay current with emerging trends in software engineering, AI, and healthcare technology, translating them into practical solutions.</li><li>
Promote experimentation, rapid prototyping, and data-informed decision making.</li><li>
Represent Ascension engineering in internal forums and external communities through presentations, demos, and knowledge sharing.</li></ul><div><b>
Talent, Culture &amp; Change Leadership</b></div><ul><li>
Build, mentor, and grow high-performing teams of engineering leaders, software engineers, and AI engineers.</li><li>
Upskill teams in AI literacy, modern engineering practices, and responsible innovation.</li><li>
Drive a culture of curiosity, learning, inclusion, and continuous improvement.</li></ul><div><b>
Budgeting &amp; Partner Management</b></div><ul><li>
Manage budgets, forecasts, and vendor contracts, including AI platforms, tooling, and service providers.</li><li>
Evaluate build vs. buy decisions for AI and digital capabilities.</li></ul><div><b>
Characteristics We Seek</b></div><ul><li>
Curious about technology and AI: Actively explores how emerging technologies and AI can improve patient, clinician, and associate experiences.</li><li>
Continuous learner: Invests in ongoing growth for self and teams, especially in rapidly evolving AI and engineering domains.</li><li>
Change-ready leader: Navigates ambiguity, drives transformation, and leads teams through technological and organizational change.</li><li>
Feedback-driven: Embeds feedback loops in software, AI systems, and leadership practices.</li><li>
Self-aware and situationally aware: Balances confidence with humility and sound judgment.</li><li>
Positive and resilient: Approaches complex healthcare challenges with optimism and purpose.</li><li>
Collaborative: Values teamwork, mentorship, and cross-functional partnership.</li><li>
Values-driven: Lives Ascension&rsquo;s core values of service of the poor, reverence, integrity, wisdom, creativity, and dedication.</li></ul><h3 class="jobSectionHeader"><b><br>
Requirements
</b></h3><div>Education:</div><br>
<div></div><ul><li>
High School diploma equivalency with 5 years of applicable cumulative job specific experience required, with 2 of those years being in leadership/management OR Associate's degree/Bachelor's degree with 3 years of applicable cumulative job specific experience required, with 2 of those years being in leadership/management.</li></ul><h3 class="jobSectionHeader"><b><br>
Additional Preferences
</b></h3><ul><li>Expertise in architecting and delivering scalable, highly available, consumer-facing digital platforms.</li><li>
Strong experience with AI systems, including model integration, inference services, vector databases, embeddings, and retrieval-augmented generation (RAG).</li><li>
Hands-on knowledge of AI and data platforms (e.g., GCP Vertex AI, Azure AI, OpenAI ecosystem, open-source ML frameworks).</li><li>
Experience with modern search, integration, microservices, and data technologies (GraphQL/REST, Spring Boot, Cloud SQL, NoSQL).</li><li>
Experience with observability platforms (e.g., Dynatrace, Datadog) and AI/model monitoring.</li><li>
Cloud-native experience in GCP and/or Azure, including healthcare-specific services.</li><li>
Experience with experimentation, feature flags, and A/B testing.</li><li>
Strong understanding of healthcare interoperability standards (FHIR, HL7) and regulations (HIPAA, Cures Act), especially as applied to AI.</li><li>
Deep computer science fundamentals and modern software engineering best practices across the full SDLC.</li><li>
Demonstrated experience leading large engineering organizations and complex transformations.</li><li>
15+ years of software engineering experience, with 5+ years in senior engineering leadership roles.</li><li>
Excellent written and verbal communication skills.</li></ul><div>
#GMDx</div><h3 class="jobSectionHeader"><b><br>
Why Join Our Team
</b></h3><div>Ascension associates are key to our commitment of transforming healthcare and providing care to all, especially those most in need. Join us and help us drive impact through reimagining how we can deliver a people-centered healthcare experience and creating the solutions to do it. Explore career opportunities across our ministry locations and within our corporate headquarters.</div><div></div><div><br>
Ascension is a leading non-profit, faith-based national health system made up of over 134,000 associates and 2,600 sites of care, including more than 140 hospitals and 40 senior living communities in 19 states.</div><div></div><div><br>
Our Mission, Vision and Values encompass everything we do at Ascension. Every associate is empowered to give back, volunteer and make a positive impact in their community. Ascension careers are more than jobs; they are opportunities to enhance your life and the lives of the people around you.</div><h3 class="jobSectionHeader"><b><br>
Equal Employment Opportunity Employer
</b></h3><div>Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws.<br>
<br>
For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.<br>
<br>
As a military friendly organization, Ascension promotes career flexibility and offers many benefits to help support the well-being of our military families, spouses, veterans and reservists. Our associates are empowered to apply their military experience and unique perspective to their civilian career with Ascension.<br>
<br>
Please note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants.</div><h3 class="jobSectionHeader"><b><br>
E-Verify Statement
</b></h3><div>This employer participates in the Electronic Employment Verification Program. Please click the E-Verify link below for more information.<br>
<br>
E-Verify</div></div>

Sr. Director, Software Engineering

Mastercard

<div><p><b>Our Purpose</b></p><p></p><p><i>
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><p></p><p><b>
Title and Summary</b></p><p></p>
Lead Full Stack AI Engg<p></p>
Overview
<br>
<br>
As a Lead AI Full Stack Engineer, on the AI Foundations team, you will play a critical role in architecting and delivering end-to-end AI/ML solutions. You will combine deep full stack engineering expertise with a strong understanding of AI systems to build intuitive user interfaces and scalable backend services that bring machine learning insights to life. Your work will directly translate complex algorithms into impactful, user-centric applications that drive strategic business outcomes.<br>
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Your role
<br>
<br>
End-to-End Development: Lead the full lifecycle of AI-powered applications, from frontend user experience design to backend service development and integration with AI/ML models.
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Backend Engineering: Develop robust backend services and APIs that manage model training, inference, data pipelines, and agentic workflows. Implement scalable data ingestion, event-driven architectures, and microservices that support real-time agent interactions.
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Frontend Engineering: Design and maintain responsive, user-friendly interfaces that enable users to interact with AI models and data.
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API Design: Develop high-performance APIs for internal and external use, ensuring seamless integration across systems.
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Performance Optimisation: Identify and resolve bottlenecks across the stack, including frontend responsiveness, backend efficiency, and model inference latency. Optimise agentic workflows for speed, scalability, and reliability.
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Technical Leadership: Provide mentorship and guidance to junior engineers; Champion best practices in architecture, development, and AI operationalisation exerting influence across all levels.
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Cross-Functional Collaboration: Work closely with data scientists, AI engineers, product managers, and stakeholders to translate business needs into technical solutions. Collaborate with cross-functional teams (Data &amp; AI Ops, Privacy, AI Governance, Info Security, Architecture &amp; Technonology, BizOps etc) to design development patterns fit for productionizing and scale.
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Security &amp; Compliance: Ensure all solutions adhere to organisational security standards, data governance policies, and compliance requirements.
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All about you
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Minimum 7+ years in full stack software development, with 3&ndash;4 years focused on AI/ML-driven applications and agentic system integration
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Proven track record of leading complex technical initiatives and mentoring engineering teams.
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Extensive experience with backend development frameworks (e.g., Node.js, Python/Flask/Django) and designing/implementing RESTful APIs
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Strong proficiency in frontend technologies including React, Next.js, TypeScript, JavaScript, HTML, and CSS
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Experience with cloud platforms and their relevant services for compute, storage, databases, and networking
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Experience with CI/CD pipelines for automated deployment of full stack applications
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Familiarity with database technologies
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Understanding of the AI/ML lifecycle and experience in operationalising ML models and building agentic workflows
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Excellent interpersonal and stakeholder management skills, with the ability to explain technical concepts to diverse audiences.
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Ability to lead cross-functional projects and foster a culture of technical excellence.<br>
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The following skills are preferred
<br>
<br>
Experience in the financial institutions or payments industry<p></p><p><b>
Corporate Security Responsibility</b></p><p><br>
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>
Abide by Mastercard&rsquo;s security policies and practices;</p></li><li><p>
Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>
Report any suspected information security violation or breach, and</p></li><li><p>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</p></li></ul></div><p></p>

Lead Full Stack AI Engg

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