ai developer

Babcock & Wilcox

<div>About the Role

We are seeking a Junior AI Developer with a focus on AI Generative Images to support the development of AI-driven image generation capabilities. This role will focus on creating, refining, and operationalizing AI models that generate realistic and technical imagery for various applications.

You will work closely with engineering, marketing, business development, and digital teams to develop AI solutions that can generate visual representations of industrial equipment, plant layouts, and conceptual designs. This is an opportunity to work at the intersection of artificial intelligence and industrial engineering applications.

Key Responsibilities
<ul>
<li>Assist in building and deploying generative image models in the Azure cloud</li>
<li>Support training and fine-tuning models using internal datasets (e.g., plant images, equipment designs, marketing assets)</li>
<li>Develop and refine prompt engineering techniques to improve output quality, consistency, and realism</li>
<li>Perform image preprocessing and post-processing (background cleanup, resizing, enhancement, quality correction)</li>
<li>Collaborate with engineering and marketing teams to translate requirements into AI-assisted visual outputs</li>
<li>Help establish repeatable workflows for AI-driven image generation (batch processing, template generation, reuse of assets)</li>
<li>Assist in integrating AI image capabilities into existing tools and platforms (e.g., web apps, Power Platform, internal tools)</li>
<li>Support testing and validation of generated images for technical accuracy and visual quality</li>
<li>Document processes, datasets, and model performance to ensure reproducibility and governance compliance</li>
<li>Stay current on advancements in generative AI and model optimization techniques</li>
</ul>
Required Qualifications
<ul>
<li>Bachelor's degree in Computer Science, Data Science, AI/ML, or a related field (or equivalent experience)</li>
<li>Basic experience with Python and AI/ML libraries</li>
<li>Familiarity with machine learning concepts (training, inference, model evaluation)</li>
<li>Exposure to image processing tools (e.g., Adobe Photoshop) and 3D modeling / animation platforms (e.g., Blender, Autodesk Maya)</li>
<li>Understanding of cloud platforms, preferably Microsoft Azure</li>
<li>Strong problem-solving and analytical skills</li>
<li>Ability to work collaboratively across technical and non-technical teams</li>
</ul>
Preferred Qualifications
<ul>
<li>Exposure to generative AI models (e.g., diffusion models, GANs, or transformer-based image generation)</li>
<li>Experience with Stable Diffusion, ControlNet, or similar frameworks</li>
<li>Familiarity with GPU-based computing environments (local or cloud-based)</li>
<li>Basic understanding of prompt engineering techniques</li>
<li>Experience working with image datasets (labeling, cleaning, augmentation)</li>
<li>Exposure to version control (Git) and development workflows</li>
<li>Familiarity with Azure services such as Azure AI, Azure ML, or virtual machines</li>
<li>Familiarity with industrial or power generation plant layouts, components, and systems</li>
<li>Experience with engineering 3D modeling software (e.g., SolidWorks, AVEVA E3D)</li></ul></div>

Junior AI Developer

American business solutions inc

<div>Client is seeking an experienced AI Engineer, with expertise in 
context engineering and agent design who will develop AI solutions in Microsoft 
and Google ecosystems. Responsibilities include building conversational agents, 
integrating with natural language processing or generative AI, and agents/ 
virtual assistants to software applications. AI Engineer is responsible for 
designing and delivering data access through APIs and ensuring that these 
solutions are securely deployed. 
 
 
Responsibilities include: 
 
 
 
 
 
<ul><li>Developing applications</li></ul>
that interact with web services, APIs, and other software applications. 
 
 
<ul><li></li></ul>
Designing the overall structure of Agentic 
AI solutions, including determining necessary features, user flow, API 
development and integration with other systems. Requires understanding of API design principles and specific 
constraints of AI service interfaces. 
 
 
<ul><li></li></ul>
Implementing and tuning Natural 
Language Processing techniques to improve AI assistants&rsquo; understanding and 
response accuracy. 
 
 
<ul><li></li></ul>
Training and deploying AI models, 
and monitoring solution performance by creating and utilizing Dashboards. 
 
 
<ul><li></li></ul>
Creating custom indexes, managing 
data sources, and tuning intent matches to improve accuracy and relevance of 
results within the AI solution context. 
 
 
<ul><li></li></ul>
Designing conversational flows that 
provide a seamless and intuitive user experience, with strong focus on making 
the agent interactions as human-like and engaging as possible. 
 
 
<ul><li></li></ul>
Analyzing agent interaction data to 
identify patterns, trends, and areas for improvement. Preparing reports on agent 
performance metrics. 
 
 
<ul><li></li></ul>
Identifying and resolving issues 
related to agent performance, including debugging and updating the system as 
necessary. 
 
 
<ul><li></li></ul>
Ensuring the AI agent/ 
conversational assistant complies with data privacy laws and maintaining high 
standards of security, especially when handling sensitive user data. 
 
 
<ul><li></li></ul>
Working effectively with 
cross-functional teams, including business analysts, UX designers, project 
managers, and business customers and business SMEs from across the enterprise. 
Good communication skills are essential. 
 
 
 
 
 
<ul><li></li></ul>
Collaborating 
effectively with Automation Center of Excellence (CoE) team members, incorporating 
the established standards; adhering to organization process and ensuring that 
solutions align with target architectures and technology roadmaps. 
 
 
<ul><li></li></ul>
Ensuring 
that AI systems operate safely, transparently and within acceptable boundaries 
in alignment with the organization&rsquo;s governance policies and practices. 
 
<ul><li></li></ul>
Planning, initiating and spearheading 
proof of concept (POC) initiatives using emerging technologies. 
 
 
<ul><li></li></ul>
Technical writing leveraging tools 
such as Word, PowerPoint, Visio, SharePoint, and Excel to develop presentations 
and white papers. 
 
 
Skills and Credentials: 
 
<ul><li></li></ul>
Extensive knowledge and experience developing AI agents/ virtual 
assistants using Microsoft Foundry with Azure services like Azure AI Search, 
and Azure AI Language Service, Microsoft Power Platform and Microsoft CoPilot 
Studio. 
 
<ul><li></li></ul>
Ability to integrate chatbots with various Microsoft services (such as 
Office 365, SharePoint) and third-party APIs to enhance functionality. 
 
<ul><li></li></ul>
Ability to develop AI Conversation agents using Google tools such as CX 
Agent Studio, Google Conversational Agents, Google Dialogflow CX, and(/or) 
Google CCAI Services. 
 
 
<ul><li></li></ul>
Experience in creating Enterprise Looker Dashboards for monitoring performance 
of implemented AI Agents is required. 
 
<ul><li></li></ul>
Deep understanding 
of API design principles and specific constraints of AI service interfaces. 
 
<ul><li></li></ul>
Strong programming skills in languages such as C#, .NET, JavaScript, or 
Python. Experience in developing, testing, and deploying chatbot applications. 
 
 
<ul><li></li></ul>
Ability to facilitate and lead discussions with business SME&rsquo;s 
 
 
<ul><li></li></ul>
Ability to create and present Ai solution proposals and communicate 
both business and technical concepts. 
 
<ul><li></li></ul>
Ability to lead and conduct emerging technology analysis and conduct 
proof of concept initiatives. 
 
<ul><li></li></ul>
Experience in training and deploying AI models. 
 
<ul><li></li></ul>
Experience in leading efforts to create technology solutions and 
architectures impacting critical areas of the business. 
 
<ul><li></li></ul>
Ability to establish and maintain a high-level of customer trust and 
confidence. 
 
<ul><li></li></ul>
Ability to think critically and solve problems. 
 
<ul><li></li></ul>
Strong consultative skills at a cross-functional level. 
 
 
Experience 
 
<ul><li></li></ul>
Bachelor&rsquo;s degree in computer science, Information systems or related 
discipline, or equivalent and extensive related project experience; Master&rsquo;s 
degree preferred. 
 
<ul><li></li></ul>
Five years of experience in IT, with at least 2 years AI Conversational 
Agents implementation experience using Microsoft and google ecosystems and at 
least one year Power Platform experience. 
 
<ul><li></li></ul>
Agentic AI Developer Experience using Microsoft Foundry is mandatory. 
 
<ul><li></li></ul>
Experience developing and maintaining SharePoint online solutions using 
MS Power Platform mandatory. 
 
<ul><li></li></ul>
Agentic AI Developer Experience using Google conversational agents, Dialogflow 
CX with focus on Google CCAI Services is mandatory. 
 
<ul><li></li></ul>
Minimum of five years of hands-on design and implementation experience 
in IT, with knowledge in a minimum of two of the following technical 
disciplines: 
 
 
o 
Application 
development 
 
 
o 
Network design 
 
 
o 
Middleware 
 
 
o 
Servers and 
storage 
 
 
o 
Database 
management 
 
 
o 
Operations 
 
 
o 
Artificial 
intelligence and machine learning fundamentals 
 
 
o 
Natural language 
processing (NLP) and large language model (LLM) integration
<h5 class="jobSectionHeader">Required/Desired Skills</h5>
Skill Required/Desired Amount of Experience Bachelor&rsquo;s degree in computer science, Information systems or related discipline or equivalent and extensive related project experience; Master&rsquo;s pref Required Five years of experience in IT, with at least 2 years AI Conversational Agents implementation experience using Microsoft and google ecosystems Required 5.0 Years Power Platform experience. Required 1.0 Years Agentic AI Developer Experience using Microsoft Foundry is mandatory Required Experience developing and maintaining SharePoint online solutions using MS Power Platform mandatory. Required Agentic AI Developer Experience using Google conversational agents, Dialogflow CX with focus on Google CCAI Services is mandatory Required</div>

Agentic AI Developer

RealPage Inc

<div>Overview:

RealPage is accelerating the adoption of Generative AI and agentic engineering practices across its technology organization. The Internal AI Center of Excellence is responsible for enabling engineering teams to apply AI effectively, safely, and consistently across the software development lifecycle.
We are seeking an AI Developer IV to help design, build, and scale internal AI solutions that improve engineering productivity, accelerate delivery, and support RealPage&rsquo;s AI adoption goals. This role will focus on developing reusable AI patterns, agentic workflows, internal developer tools, reference implementations, and enablement assets that help engineering teams move from experimentation to repeatable production use.
The ideal candidate is a hands-on AI engineer with strong software development experience, practical knowledge of LLMs and agentic systems, and the ability to partner with engineering teams to turn AI concepts into usable internal capabilities.
Responsibilities:
<ul><li>Internal AI Solution Development</li></ul>
Design and build internal AI solutions that support engineering productivity and software delivery, including:<ul><li>
AI-powered developer workflows and assistants</li><li>
Agentic SDLC automation patterns</li><li>
Internal tools for code analysis, documentation, testing, migration, and engineering support</li><li>
Reusable prompt, tool-calling, and workflow patterns</li><li>
Reference implementations that can be adopted by engineering teams</li></ul>
Develop solutions that are practical, scalable, maintainable, and aligned with RealPage engineering standards.<ul><li>
Agentic Workflow and Platform Enablement</li></ul>
Build reusable capabilities that help teams adopt AI consistently across the organization, including:<ul><li>
Multi-step agentic workflows</li><li>
Tool-calling and orchestration patterns</li><li>
RAG-based internal knowledge solutions</li><li>
Shared SDKs, templates, and integration examples</li><li>
Reusable components for copilots, agents, and AI-enabled engineering workflows</li></ul>
Partner with senior architects and engineering leaders to establish patterns that can scale beyond one team or use case.<ul><li>
Engineering Team Enablement</li></ul>
Work directly with engineering teams, champions, and internal stakeholders to help them adopt AI effectively.
Responsibilities include:<ul><li>
Pairing with teams on AI use cases and implementation patterns</li><li>
Providing technical guidance on LLM, RAG, and agentic workflow design</li><li>
Supporting proof-of-concept efforts and helping mature them into repeatable practices</li></ul><ul><li>
Creating playbooks, examples, templates, and documentation for internal engineering use</li><li>
Participating in office hours, workshops, and AI enablement sessions</li><li>
AI Evaluation, Quality, and Responsible Use</li></ul>
Help define and apply practical evaluation and governance practices for internal AI solutions, including:<ul><li>
Prompt and workflow evaluation</li><li>
Accuracy, relevance, and usefulness testing</li><li>
Safety and responsible AI considerations</li><li>
PII and sensitive-data handling</li><li>
Logging, observability, and feedback loops</li><li>
Human-in-the-loop review patterns where appropriate</li></ul>
Ensure internal AI solutions are developed with quality, security, privacy, and reliability in mind.<ul><li>
Delivery and Cross-Functional Collaboration</li></ul>
Partner with engineering leadership, product teams, architecture, security, and other stakeholders to identify and deliver high-impact AI use cases.
Responsibilities include:<ul><li>
Translating engineering productivity needs into AI-enabled solutions</li><li>
Supporting roadmap-aligned internal AI initiatives</li><li>
Contributing to adoption and capacity-improvement goals</li></ul><ul><li>
Helping measure the impact of AI enablement efforts</li><li>
Communicating technical concepts clearly to engineering and non-engineering audiences</li><li>
Performance, Reliability, and Cost Awareness</li></ul>
Design AI solutions with practical performance and cost considerations, including:<ul><li>
Model selection and routing</li><li>
Prompt and context optimization</li><li>
Caching and retrieval efficiency</li><li>
Latency and reliability considerations</li><li>
Build-vs-buy recommendations</li><li>
Avoidance of vendor lock-in where practical</li></ul>
Qualifications:
<ul><li>Typically 6+ years of software engineering experience, with meaningful hands-on experience building production applications or internal platforms.</li><li>
2+ years of applied AI, LLM, Generative AI, or agentic workflow experience.</li><li>
Strong programming experience in Python, TypeScript/JavaScript, or similar production languages.</li><li>
Experience designing and building cloud-native applications or services in Azure, GCP, or AWS.</li><li>
Practical experience with:</li><li>
LLM-based application development</li><li>
Prompt engineering and prompt versioning</li><li>
Tool calling / function calling</li><li>
RAG architectures</li><li>
Vector databases or semantic retrieval</li><li>
Multi-step workflow or agent orchestration</li><li>
Familiarity with modern software engineering practices, including:</li><li>
CI/CD</li><li>
Git-based development</li><li>
Automated testing</li><li>
API design</li><li>
Observability and logging</li><li>
Experience using or enabling AI coding tools such as GitHub Copilot, Cursor, Windsurf, Codex, or similar tools.</li></ul><ul><li>
Ability to work directly with engineering teams to understand needs, prototype solutions, and drive adoption.</li><li>
Strong communication skills with the ability to explain AI concepts and implementation patterns clearly.</li></ul><div></div> 
Nice-to-Have Skills / Abilities<ul><li>
Experience building internal developer platforms, engineering productivity tools, or enablement frameworks.</li><li>
Experience with agent frameworks or orchestration tools such as LangGraph, OpenAI Agents SDK, Google ADK, Semantic Kernel, CrewAI, or similar frameworks.</li><li>
Experience with evaluation frameworks such as OpenAI Evals, LangSmith Evals, RAGAS, or custom evaluation harnesses.</li><li>
Experience with browser automation or workflow automation tools such as Playwright.</li><li>
Experience with knowledge management, internal documentation systems, or enterprise search.</li><li>
Experience working in environments with privacy, compliance, or regulated-data considerations.</li><li>
Background in enterprise software, PropTech, fintech, or other complex business domains.</li><li>
Experience supporting AI adoption programs, engineering champions, office hours, or internal technical enablement. #LI-JK1</li></ul><div></div><div> 
SALARY AND BENEFITS</div><ul><li>
RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:</li><li>
Health, dental, and vision insurance.</li><li>
Retirement savings plan with company match.</li><li>
Paid time off and holidays.</li><li>
Professional development opportunities.</li><li>
Performance-based bonus based on position. #LI-JK1</li></ul><div>
Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.</div><div></div><div> 
Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.</div><div></div> 
Pay Range: USD $159,100.00 - USD $270,900.00 /Yr.</div>

Agentic AI Developer IV

Everforth ECS

<div>Everforth ECS is seeking an AI Developer to work remotely.

Everforth ECS is seeking a highly skilled AI Developer with expertise in machine learning model creation and full-stack application development. The ideal candidate will be excited to join an organization that is heavily investing in AI. This role requires the need to build high performance Python-based AI/ML solutions capable of processing extremely large data sets and integrating them into scalable web applications, including LLMs. This role also requires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack.
Key Responsibilities:
<ul><li>AI/ML Model Development</li>
<li>Design, build, fine tune and train machine learning and deep learning models using Python.
</li><li>Perform data preprocessing, feature engineering, and model optimization.
</li><li>Evaluate models using domain appropriate metrics and improve performance iteratively.
</li><li>Deploy custom models to production environments (cloud/on-premises) using MLOps best practices.
</li><li>Full-Stack Development
</li><li>Develop high throughput, event-driven microservices (RESTful APIs, GraphQL) for application backends and MCP servers to serve AI models.
</li><li>Build responsive and user-friendly front-end interfaces for AI-powered applications.
</li><li>Integrate AI models into web and mobile applications.
</li><li>Ensure scalability, security, and performance of deployed solutions.
</li><li>Collaboration &amp; Documentation
</li><li>Work closely with data scientists, developers, frontend developers, and product managers.
</li><li>Document model architectures, APIs, and deployment processes.
</li><li>Participate in code reviews and maintain high coding standards.</li>
</ul>
<div>Salary Range: $130,000 - $145,000</div>
<div>
General Description of Benefits
</div>Requirements:
<ul><li>Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
</li><li>Candidates must be able to obtain a USPS Public Trust Clearance. This requires US Citizenship or Permanent Resident Status (Green Card), and the ability to pass a stringent background check.</li>
<li>3+ years of experience in AI/ML development and full-stack application building.
</li><li>Programming: Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers).
</li><li>Full Stack: Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React, Angular, or Vue.js).
</li><li>Databases: Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis), Oracle 19c, Azure Databricks
</li><li>Experience with databricks</li>
<li>DevOps &amp; Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP).</li>
<li>General knowledge of Geospatial technology
</li><li>Version Control: Proficiency with GitHub workflows.
</li><li>Mathematics &amp; AI Concepts: Strong understanding of statistics, linear algebra, and machine learning algorithms.
</li><li>Knowledge of data visualization tools (Matplotlib, Plotly, D3.js).
</li><li>Familiarity with microservices architecture.
</li><li>Prior experience in AI product development from concept to deployment.
</li></ul> 
Req Benefits:
<div>Benefits - Everforth ECS</div></div>

AI Developer - Model Creation & Full Stack

United Placement Group

<div>AI Developer &mdash; SEO / GEO / AEO Marketing Specialist / Sarasota/Bradenton, Florida ON-SITE ONLY
We're hiring an AI developer who lives at the intersection of code and search visibility. If you write fluent Python and you've been quietly mastering how content actually surfaces in 2026 &mdash; across Google, generative engines, and AI answer platforms &mdash; we want to talk to you. 
What you'll do:
Build, deploy, and refine AI-driven tools that move the needle on traditional SEO, Generative Engine Optimization (GEO), and Answer Engine Optimization (AEO). You'll partner daily with our graphic designers, media producers, and a sharp bench of programmers to ship work that supports a portfolio of growing companies. The mission is simple: make sure our brands win the page, the prompt, and the answer. 
What we're looking for:
Strong Python fundamentals are non-negotiable &mdash; APIs, automation, data pipelines, and AI/LLM integration should be second nature. Beyond that, we need genuine expertise across the modern search stack: technical SEO, structured data, content strategy tuned for generative engines, and the emerging craft of getting cited inside AI-generated answers. You should be comfortable measuring what works, iterating fast, and explaining your reasoning to teammates who don't share your specialty. 
Who you'll work with:
A team of competitive, motivated professionals supporting a family of established Florida companies that depend on each other's excellence. The work is collaborative, the pace is real, and the bar is high. 
Where:
On-site in the heart of University Park, Florida &mdash; one of the most beautiful corners of the Sarasota region to build a career. 
Compensation:
Commensurate with skills and experience. Strong candidates will be paid like strong candidates. 
To apply, send your resume, a short note on what you've shipped, and links to anything you're proud of.</div>

AI Developer - SEO / GEO / AEO Marketing Specialist / On-Site Bradenton,

Datadog

<div>At Datadog we're growing our investment in AI and Developer focused events. As we scale this program we're looking to hire a Program Manager on our Community team to support our content and advocacy team efforts across these events. 
 
The Datadog Technical Advocacy team are focused on our local user communities, and bringing our technical content directly to our customers globally. You'll be responsible for planning and execution to deliver AI and Developer events, working across multiple teams at Datadog to ensure our event is high quality and a positive experience for our customers. 
 
 
 
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. 


What You'll Do:
<ul>
<li>Growing Datadog's presence at AI events and identifying opportunities for meetups, hands-on learning, and sponsored events, with a focus on AI or Developer events</li>
<li>Planning technical programming for AI or developer events that Datadog hosts or sponsors</li>
<li>Supporting AI and developer focused content at larger global events such as DASH, Datadog's annual conference</li>
<li>Tracking deadlines and deliverables for our content and events, including digital and physical assets, and working with vendors and procurement teams as needed to ensure event success</li>
<li>Identifying and resolving risks and blockers for our event programing</li>
<li>Maintaining our internal tools and public website for event agenda and speaker content</li>
<li>Owning our onsite speaker experience for both internal and customer speakers</li>
<li>Managing event programming onsite, coordinating rehearsals, staffing, and ensuring smooth onsite operations
</li><li>Collaborate closely with our Community teams, external stakeholders, and the VP of Community</li>
<li>Create and refine processes; maintain focus on continual improvements, automation and scaling</li>
<li>Communicate goals, status, risks, and impact to teams and stakeholders ensuring alignment and visibility of information across teams.</li> 
</ul>
Who You Are:
<ul>
<li>You have approximately 2-5 years of experience in program management, leading similar initiatives such as large scale conferences and related programs within a similar technical environment (B2B SaaS company), partnering closely with technical stakeholders</li>
<li>You have experience working collaboratively across cross-functional teams; strong leadership and interpersonal skills, experience building and fostering effective working relationships</li>
<li>You have strong communication skills, attention to detail and enjoy building processes</li>
<li>You take a data-driven approach to program management; building tools (workflows, custom work intake processes, estimation models), collecting and analyzing data, and driving stakeholder buy-in</li>
<li>You have experience influencing without direct authority at senior levels internal and external to the organization</li>
<li>Able to travel via train or air, domestically and internationally, up to 20% of the time</li>
</ul>
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. 


Benefits and Growth:
<ul>
<li>New hire stock equity (RSUs) and employee stock purchase plan (ESPP)</li>
<li>Continuous professional development, product training, and career pathing</li>
<li>Intra-departmental mentor and buddy program for in-house networking</li>
<li>An inclusive company culture, with the ability to join our Community Guilds</li>
<li>Access to Inclusion Talks, our internal panel discussions</li>
<li>Free, global Spring Health benefits for employees and dependents age 6+</li>
<li>Competitive global benefits</li>
</ul>
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. 

#LI-Hybrid<div>

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.</div></div>

Program Manager, AI and Developer Community Content and Events

JPMorganChase

<div>JOB DESCRIPTION 
 
 
As an Applied AI/ML Researcher within the AI4Tech Team at JPMorgan Chase, you will lead technology research and development initiatives focused on advancing AI capabilities across the firm. Leveraging your deep engineering expertise, you will collaborate with agile teams to drive innovation in developer productivity, CI/CD, observability, incident response, and the secure, compliant integration of AI into technical operations. Your role emphasizes establishing and nurturing common capabilities, best practices, and reusable frameworks to support AI excellence and consistency throughout the organization. You will blend hands-on technical work with strategic and advisory responsibilities, guiding platform choices, operating models, and controls in a regulated enterprise environment. Staying abreast of industry trends and technological advancements, you will help shape the future of AI-driven technology at JPMorgan Chase.
Job Responsibilities<div><ul><li> 
Conduct applied research and development on GenAI and agentic AI solutions to enhance developer productivity, CI/CD automation, observability, and operational resilience.</li><li>Design, prototype, and evaluate AI-driven tools and frameworks that streamline engineering workflows, improve code quality, and accelerate technology delivery.</li><li>Establish and promote best practices, reusable components, and common capabilities for integrating AI into technology platforms in a secure, stable, and scalable manner.</li><li>Collaborate with agile engineering teams to identify opportunities for AI adoption, provide technical guidance, and support the implementation of innovative solutions.</li><li>Develop and maintain policies, guardrails, and controls to ensure responsible, compliant, and auditable use of AI technologies within the enterprise.</li><li>Monitor industry trends, emerging technologies, and best practices to inform strategic direction and maintain the firm's leadership in AI-driven technology innovation.</li><li>Communicate research findings, technical insights, and recommendations to both technical and non-technical stakeholders through clear documentation, presentations, and decision briefs.</li></ul></div> 
Required qualifications, skills and capabilities<div><ul><li> 
Advanced degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li><li>5+ years of experience in software engineering, applied AI/ML research, or technology R&amp;D, with strong proficiency in Python and familiarity with modern development tools and cloud platforms (AWS, Azure, GCP).</li><li>Hands‑on experience with containers, Kubernetes, and infrastructure as code.</li><li>Hands-on experience with GenAI, agentic AI, prompt engineering, function/tool calling, and integrating AI into developer and operational workflows.</li><li>Deep understanding of CI/CD pipelines, developer productivity tooling, observability, and incident response in large-scale, regulated environments.</li><li>Strong background in secure software development, data privacy, access controls, and compliance requirements.</li><li>Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences and drive cross-functional collaboration.</li><li>Demonstrated ability to innovate, challenge the status quo, and deliver impactful technology solutions in a fast-paced, enterprise setting.</li></ul></div>
(i) This position is subject to Section 19 of the Federal Deposit Insurance Act.
 
(ii) An employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.
ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>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.
<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.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
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ABOUT THE TEAM
 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Applied AI/ML Researcher - Vice President

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