machine learning lead

Forward Edge AI

<div><div><b>Data Science, AI &amp; Analytics Lead</b></div><div><b>
Location:</b> Mountain View, CA<br>
<b>Work Arrangement:</b> Hybrid (Must reside within 50 miles of Mountain View, CA)<br>
<b>Clearance:</b> Active Secret Clearance Required<br>
<b>Employment Type:</b> Full-Time</div><div></div><div><b><br>
Position Overview</b></div><div>
Forward Edge-AI is seeking a Data Science, AI &amp; Analytics Lead to support the U.S. Army Reserve CIO/G-6. This position will lead enterprise data analytics, artificial intelligence, machine learning, visualization, and data governance initiatives that enable data-driven decision-making, operational readiness, and digital transformation across the Army Reserve enterprise.</div><div>
The ideal candidate will provide technical leadership for advanced analytics programs, develop executive-level dashboards and reporting solutions, guide AI/ML implementation efforts, and ensure compliance with enterprise data governance and quality standards. This role requires the ability to communicate complex analytical findings to senior military and civilian leadership and translate data into actionable business insights.</div><div></div><div><b><br>
Work Location Requirement</b></div><div>
This is a hybrid position. Candidates must reside within <b>50 miles of Mountain View, CA</b> and be available to work on-site as required to support meetings, stakeholder engagements, workshops, and Government-directed activities. Candidates must be able to obtain and maintain installation access.</div><div></div><div><b><br>
Key Responsibilities</b></div><ul><li>
Lead the development and implementation of AI/ML models, predictive analytics, and advanced data science solutions</li><li>
Design and deliver executive dashboards, reports, scorecards, and visualizations using Power BI and other approved analytics platforms</li><li>
Analyze structured and unstructured data to support operational readiness, strategic planning, and executive decision-making</li><li>
Oversee enterprise data integration, ETL processes, API development, and data engineering activities</li><li>
Establish and maintain data governance frameworks, metadata standards, and data quality controls</li><li>
Identify authoritative data sources and ensure compliance with Army and DoD data strategies</li><li>
Evaluate emerging technologies and recommend innovative solutions that support enterprise modernization initiatives</li><li>
Brief senior military and civilian leadership on analytical findings, recommendations, and program performance</li><li>
Collaborate with stakeholders, data engineers, analysts, and technical teams to deliver mission-focused solutions</li><li>
Support Agile, DevSecOps, and modern data platform practices</li><li>
Provide technical leadership and mentorship to analytics and data teams</li></ul><div><b>
Required Qualifications</b></div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Mathematics, or a related field</li><li>
Minimum of five (5) years of experience in data science, analytics, AI/ML, business intelligence, or related disciplines</li><li>
Experience developing predictive models, machine learning solutions, and advanced analytics products</li><li>
Proficiency with Python, SQL, Power BI, Azure Machine Learning, Databricks, or similar analytics platforms</li><li>
Experience with data integration, ETL development, and enterprise data management</li><li>
Strong understanding of data governance, data quality, metadata management, and data stewardship</li><li>
Experience supporting federal agencies, Department of Defense organizations, or large enterprise environments</li><li>
Active Secret Security Clearance</li><li>
U.S. Citizenship required</li><li>
Ability to communicate complex technical concepts to executive and non-technical audiences</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Experience supporting Army, DoD, or federal data and analytics programs</li><li>
Experience with Army Vantage, Advana, Azure cloud environments, or similar enterprise platforms</li><li>
Microsoft, Azure, AI/ML, Data Analytics, Agile, or Project Management certifications</li><li>
Experience leading cross-functional technical teams</li><li>
Experience briefing General Officer, Senior Executive Service, or executive-level stakeholders</li></ul><div><b>
Why Forward Edge-AI</b></div><div>
At Forward Edge-AI, you will work alongside mission-focused professionals delivering cutting-edge AI, analytics, and data solutions that directly support national defense objectives. Join a team committed to innovation, collaboration, and advancing the future of data-driven decision-making across the Department of Defense.</div></div>

Data Science, AI & Analytics Lead

Agile Defense

<div><div><b>About Agile Defense</b></div>
<div></div>
<div>At Agile Defense we know that action defines the outcome and new challenges require new solutions. That&rsquo;s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.</div>
<div></div>
<div>Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility&mdash;leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation&rsquo;s vital interests.</div><div></div><div><br>
<div><b>
Requisition #: </b>1706</div>
<div><b>Job Title:</b> Data Science &amp; Analytics Technical Lead</div>
<div><b>Location:</b> Tampa, FL</div>
<div><b>Clearance Level: </b>Top Secret / SCI, Must Have Clearance to Start</div>
</div><h3 class="jobSectionHeader"><b>Job Description</b></h3><ul>
<li>Lead the design, development, and deployment of complex machine learning models, statistical analysis, and data mining techniques to solve advanced business problems.</li>
<li>Build and improve predictive models for customer behavior, churn prediction, demand forecasting, and other business-critical areas.</li>
<li>Conduct advanced exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from structured and unstructured data sources.</li>
<li>Develop and implement algorithms for classification, regression, clustering, natural language processing (NLP), and recommendation systems.</li>
<li>Collaborate closely with cross-functional teams, including data engineering, product, and business teams, to define data science objectives and translate them into actionable projects. Communicate technical results, findings, and recommendations to stakeholders at all levels, ensuring data-driven strategies are clearly understood and actionable.</li>
<li>Lead efforts in feature engineering, hyperparameter tuning, and model validation to ensure high model accuracy, performance, and robustness. Evaluate and apply cutting-edge machine learning frameworks, tools, and techniques to optimize workflows and drive innovation.</li>
<li>Mentor junior data scientists, providing technical guidance and promoting best practices in data science and machine learning.</li>
<li>Work with data engineers to ensure clean, accurate, and accessible data pipelines, ensuring efficient deployment of data products and models.</li>
</ul><h3 class="jobSectionHeader"><b>Education and Background</b></h3><ul>
<li>Typically has a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (masters degree or PhD strongly preferred)., and 5+ years of experience in data science, machine learning, or a related role, with a track record of leading successful data science projects., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.</li>
</ul><h3 class="jobSectionHeader"><b>Years of Experience</b></h3><div>
5+ years</div><h3 class="jobSectionHeader"><b>
Required Skills</b></h3><ul>
<li>The contractor shall identify a Data Science &amp; Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionalble insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs. Have active active TS/SCI clearance</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Skills</b></h3><ul>
<li>Five years of experience working in SOF analytical support</li>
<li>Three years experience centrally managing distributed data support teams in SOF organizations HQ echelon</li>
<li>Three years experience with SOF digital capabilities</li>
<li>Three years experience with SOF HQ elements, SOF Service Components HQs, and SOF Theater Special Operations Command</li>
</ul><h3 class="jobSectionHeader"><b>Working Conditions</b></h3><div>
General Office Environment</div><div><b>
Our Core Values</b></div>
<div></div>
<div>Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.</div>
<div></div>
<div>What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.</div>
<div></div>
<ul><li><b>Happy </b>- Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.</li>
<li><b>Helpful</b> - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.</li>
<li><b>Honest</b> - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.</li>
<li><b>Humble</b> - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.</li>
<li><b>Hungry </b>- Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.</li>
<li><b>Hustle</b> - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.</li>
</ul>
<div></div><div><b>Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Data Science & Analytics Technical Lead

Software Engineer (Leadership) - Machine Learning

Faculty

<div><h2 class="jobSectionHeader"><b>Why Faculty?<br>
</b></h2><p><br>
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we&rsquo;ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.</p><p></p><p>
We don&rsquo;t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.</p><p></p><p>
Our business, and reputation, is growing fast and we&rsquo;re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.</p><p></p><p>
AI is an epoch-defining technology, join a company where you&rsquo;ll be empowered to envision its most powerful applications, and to make them happen.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
About the team</b></h2><div><br>
</div><p>Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good.<br>
<br>
From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.<br>
<br>
Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time.</p><p></p><h2 class="jobSectionHeader"><b>
About the role</b></h2><div></div><p><br>
As a Lead Data Scientist, you'll take on a pivotal, entrepreneurial role, functioning as the technical expert who thrives on complexity and commercial impact. You will be responsible for setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects.<br>
<br>
<br>
<br>
This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring cross-functional teams, and actively shaping both our technical standards and long-term customer relationships.</p><div></div><h2 class="jobSectionHeader"><br>
<b>
What you'll be doing:</b></h2><div></div><ul><li><p><br>
Setting the technical direction for complex, business-critical projects and expertly balancing trade-offs between speed, innovation, and reliability.</p></li><li><p>
Designing and implementing reliable, production-grade technical solutions, ensuring comprehensive documentation of architectures and specifications.</p></li><li><p>
Defining project problems, developing clear roadmaps, and overseeing end-to-end delivery across multi-disciplinary workstreams.</p></li><li><p>
Leading technical scoping and feasibility studies for high-value sales opportunities and strategic customer engagements.</p></li><li><p>
Managing relationships and communications with demanding clients, fostering trust and aligning technical solutions with shared long-term commercial goals.</p></li><li><p>
Driving the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft.</p></li><li><p>
Mentoring and developing other data scientists and team members, actively contributing to the growth and technical excellence of the organisation.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Who we're looking for:</b></h2><div></div><ul><li><p><br>
You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape.</p></li><li><p>
You are a skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and rolling out impactful tools and workflows.</p></li><li><p>
You have proven project management expertise, capable of dividing complex, ill-defined problems into actionable, clearly defined workstreams with timelines you can defend.</p></li><li><p>
You are adept at managing ill-defined, high-risk tasks, consistently delivering innovative and practical outcomes under commercial pressure.</p></li><li><p>
You possess strong customer leadership skills, able to act as a trusted technical advisor and drive long-term strategic relationships with demanding clients.</p></li><li><p>
You excel at cross-functional collaboration, effectively aligning technical strategy with Engineering, Commercial (BD), and Infrastructure teams.</p></li><li><p>
You have experience extending technical oversight to business unit-level initiatives, using your vision to influence and contribute to organisational success.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Our Interview Process</b></h2><div></div><ul><li><p><br>
Talent Team Screen (30 minutes)</p></li><li><p>
Introduction to the team (45 minutes)</p></li><li><p>
Technical Interview (90 minutes)
</p></li><li><p>Commercial Interview (60 minutes)</p></li></ul><p></p><p>
#LI-PRIO</p><p></p><h2 class="jobSectionHeader"><b>
Our Recruitment Ethos</b></h2><p>
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We&rsquo;re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.</p><p></p><p><b>
Some of our standout benefits:</b></p><ul><li><p>
Unlimited Annual Leave Policy</p></li><li><p>
Private healthcare and dental</p></li><li><p>
Enhanced parental leave</p></li><li><p>
Family-Friendly Flexibility &amp; Flexible working</p></li><li><p>
Sanctus Coaching</p></li><li><p>
Hybrid Working</p></li></ul><p></p><p>
If you don&rsquo;t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.</p></div><p></p>

Lead Data Scientist

Penta

<div><h4 class="jobSectionHeader"><b>What&rsquo;s in it for me?
</b></h4><p></p><ul><li>Competitive salary and compensation structure</li><li>
Generous paid time off and holiday schedule</li><li>
Frequent firm-wide social events and activities</li><li>
Excellent environment for learning and growth</li><li>
Further benefits, depending on location</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
About the Role</b></h4><p></p><div>
We are looking for a hands-on technical leader to lead Penta&rsquo;s Data Science team: someone who still designs, builds and reviews real solutions while owning execution, delivery and team development. You will be accountable for turning data science capability into shipped, dependable value for our clients and advisory teams, in alignment with our product roadmap.<br>
<br>
Penta&rsquo;s technology makes client outcomes sharper, faster, more differentiated and harder to replace. The Data Science team&rsquo;s success is measured by how much it improves live client work, not by technical elegance in isolation.<br>
<br>
Our core data science focus is natural language understanding at scale, processing millions of articles daily across stakeholder sentiment, topic identification over time, competitive peer-set selection, summarisation, contextualisation and other processing of unstructured content. Most use cases are creative chains of multiple steps drawn from data processing, exploratory analysis, fundamental ML, NLP, SQL, LLMs and integration into our live systems.</div><br>
<b>
What you&rsquo;ll do</b><br>
<br>
<b>Lead the team</b><ul><li>
Manage, coach and develop Penta&rsquo;s Data Science team, setting priorities, planning capacity and creating a high-trust, high-output delivery culture.</li><li>
Translate the product roadmap and advisory needs into a focused data science plan, partnering with Product, Advisory, Database, Development and DevOps teams to keep delivery aligned with client outcomes.</li><li>
Raise the delivery bar for execution, quality, pace, maintainability and cost discipline.</li></ul><b>
Ship production data science and AI systems</b><ul><li>
Design, build and review data science solutions across NLP, LLM workflows, machine learning, SQL and large-scale content processing.</li><li>
Own technical design and architecture for data-science-enabled applications, ensuring solutions are maintainable, supportable, observable and easy to operate.</li><li>
Productionise delivery with DevOps and MLOps, automating deployment in AWS and puttinge evaluation, monitoring and provider-routing controls in place so AI outputs remain reliable and cost-effective.</li></ul><b>
Scale practical AI adoption</b><ul><li>
Design and implement AI workflows as skills, models and MCP tools in OpenWebUI, with cost control, provider routing and observability built in.</li><li>
Partner with other departments to turn AI capabilities into everyday workflows, reusable tools and knowledge layers that improve internal productivity and client delivery.</li><li>
Evaluate emerging AI tools, models and agentic patterns, bringing the useful ones into production quickly and responsibly.</li></ul><div><b>
Success in this role</b><br>
<br>
Means the Data Science team is shipping reliable, maintainable AI and analytics capabilities into live client and advisory workflows; team members are growing; delivery is predictable; and Penta&rsquo;s applied AI capability is visibly improving across products and engagements.<br>
<br>
<b>The Team</b><br>
<br>
Our Technology team supports Penta&rsquo;s ambitious delivery plans, using technology to automate solutions, optimise outcomes and support continuous integration and deployment. The six-person Data Science team sits alongside Development, Engineering / DevOps &amp; Platform Security, IT and the PMO, and works hand in hand with the Product team.<br>
<br>
The environment is collaborative, pragmatic and delivery-focused. We move quickly, share ideas openly, and use regular hackathons and experiments to generate practical business value.<br>
<br>
This is the hands-on leadership role for that team. Reporting to the CTO, You will lead a team working at the frontier of applied AI and data science, combining production LLM workflows, advanced prompting, agentic tooling, NLP, ML and large-scale content processing. You will set its direction, raise its delivery bar, grow its people through hands-on coaching, and lead from the front by actively shaping and delivering the work yourself.<br>
<br>
<b>Our approach to AI is practical</b><br>
<br>
We are forward-thinking and ambitious in practically applying AI across client-facing work, corporate teams, technology and data science. We do not train our own foundation models; we apply, orchestrate and evaluate the best available models from major providers, engineering them into robust workflows that solve real business problems.<br>
<br>
We validate and document our methodologies through white papers and technical explainers, setting out the academic and analytical foundations behind our products, and the evidence that supports their use. This helps build trust in our tools, why they work and shows how they can be applied.<br>
<br>
We build on open-source AI software, including LiteLLM and OpenWebUI, to maximise the internal value of AI and build durable institutional capability. Reliability, cost control, observability, instruction-following, usability and adoption matter most.<br>
<br>
The team designs reusable workflows, skills, models and MCP tools that support Penta&rsquo;s move towards an AI-native advisory operating system. Keeping Penta at the forefront of practical AI in PR, communications and strategic consultancy is part of the role.</div><p></p><h4 class="jobSectionHeader"><b>
About You</b></h4><p><b>
Tech skills required: applied AI, LLMs and data science</b></p><br>
<ul><li>
Advanced Python coding for data science</li><li>
Power-user fluency with frontier AI tools, especially Claude: expert-level prompting, context engineering, agentic workflows, model selection, evaluation, and practical use of the latest AI- native data science techniques</li><li>
Practical experience engineering production LLM workflows, including prompt / skill design, evaluation, cost control, provider routing, agentic / human-in-the-loop orchestration, embeddings, vector search and RAG</li><li>
Implementation of foundational ML algorithms, classic NLP techniques and LLMs</li><li>
Strong SQL for analytical and production use, ideally PostgreSQL, including complex joins, CTEs and aggregation</li><li>
AWS: EC2, ECS, S3; DevOps and automated deployment</li><li>
Git version control</li><li>
Ideally experience with OpenWebUI, LiteLLM, MCP tools and/or Claude Code</li></ul><b>
Key competencies &amp; experience</b><ul><li>
Significant hands-on experience as an Applied AI / Data Science technical leader, with recent, practical experience using frontier LLMs, prompting and agentic workflows to ship production systems. Typically this will mean around 10+ years&rsquo; hands-on experience, with technical-leadership exposure.</li><li>
A suitable degree, ideally in Software Engineering or a related technical field, and the technical grounding set out above will round out the profile.</li></ul>
The successful candidate will also have:<ul><li>
an analytical and logical mind, dynamic, positive and ready to make a difference;</li><li>
the ability to communicate complex technical topics clearly to senior, non-technical and technical audiences;</li><li>
a passionate drive for code quality, results and getting work shipped, with sound judgement on build-vs-buy, prioritisation and balancing speed against maintainability, cost and risk.</li></ul>
We strongly believe in developing talent and are willing to invest time to develop the people who join our team.<p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
Penta Group is a global company providing data-driven solutions to help clients achieve their objectives in an increasingly complex stakeholder environment. We provide cutting-edge intelligence products to help clients understand what their stakeholders think, see, and hear, and then leverage that intelligence to develop and execute effective, measurable strategies.<br>
<br>
Our global team brings decades of experience in business, government, communications, research, data science, and media. Our clients include companies across a variety of industries, including technology, financial services, energy, healthcare, and more. Penta has offices in New York, London, Washington, DC, San Francisco, Dublin, London, Brussels, Singapore, and Hong Kong.</p></div>

VP, Head of Data Science

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Build what's next in applied AI at JPMorganChase - where your work shapes how teams use intelligent systems at scale. You'll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, you'll thrive here. Join a team that values craft, security, and learning.</p><p><br>
As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities.<br>
</p><p><b>Job Responsibilities</b></p><ul><li>
Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges</li><li>
Write secure, high-quality production code and maintain algorithms that integrate with existing systems</li><li>
Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery</li><li>
Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks</li><li>
Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock</li><li>
Identify hidden problems and patterns in data proactively to improve coding standards and system architecture</li><li>
Participate in software engineering communities of practice and events focused on emerging technologies</li></ul><p><b>
Required Qualifications, Capabilities, and Skills</b></p><ul><li>
Computer science degree or equivalent practical experience</li><li>
Hands-on experience with system design, application development, testing, and operational stability</li><li>
Proficiency in Python (FastAPI)</li><li>
Experience building microservices and APIs</li><li>
Experience with elastic compute, NoSQL databases, and messaging queues</li><li>
Strong understanding of the Software Development Life Cycle</li><li>
Solid grasp of CI/CD, application resiliency, and security</li></ul><p><b>
Preferred Qualifications, Capabilities, and Skills</b></p><ul><li>
Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock</li><li>
Proficiency working with large language models and building agents with LangGraph</li><li>
Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages</li><li>
Experience with containerization</li><li>
Knowledge of agent-to-agent (A2A) communication concepts</li><li>
Familiarity with Model Context Protocol (MCP)</li>
Experience with agentic orchestrators, personal AI assistants, or AI skills development<br>
<li>
<br>
#LLMSuiteEngineering_jobs</li></ul>
<b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>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.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Applied AI ML Lead Software Engineer - LLM Suite Engineering

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