applied ai engineer

Qualified Health

<div>
 
 Transform healthcare with us.
 
 
 
 At Qualified Health, we&rsquo;re redefining what&rsquo;s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring&mdash;working alongside leading health systems to drive real change.
 
 
 This is more than just a job. It&rsquo;s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you&rsquo;re ambitious, innovative, and ready to move fast, we&rsquo;d love to have you on board.
 
 
 Join us in shaping the future of healthcare.
 
 
 
 Job Summary:
 
 
 
 We&rsquo;re hiring an
 
 Applied AI Engineer
 
 to focus on building and scaling real-world AI workflows. This role is designed for engineers who are hands-on with deploying generative AI applications. You&rsquo;ll spend the majority of your time developing agentic workflows and production-grade integrations across multiple of our product lines.
 
 
 You&rsquo;ll work closely with product and engineering teammates to design, deploy, and scale AI-powered applications that solve real problems in healthcare.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and deploy agentic workflows and automation pipelines (approx. 60% of role).
 </li>
 <li>
 Build and maintain production-ready services, REST APIs, and integrations (approx. 30%).
 </li>
 <li>
 Ship production solutions in days, not months emphasizing scrappiness and speed.
 </li>
 <li>
 Collaborate across product, engineering, and design to deliver end-to-end AI-powered features.
 </li>
 <li>
 Evaluate and integrate state-of-the-art LLMs (OpenAI, Anthropic, Mistral, etc.) into production use cases.
 </li>
 <li>
 Contribute to building a scalable workflow infrastructure that will support 100+ workflows
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Strong software engineering foundation (Python required; solid coding practices).
 </li>
 <li>
 Experience building AI-powered applications in the past 1&ndash;2 years using ChatGPT, Claude, Anthropic, or Mistral.
 </li>
 <li>
 Hands-on experience with REST API development and deploying services into cloud environments (GCP preferred).
 </li>
 <li>
 Clear understanding of MLOps, model deployment, or workflow automation in production systems.
 
 
 </li>
 </ul>
 
 Desirable Skills:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree + 4 years OR Master&rsquo;s degree + 2 years in Computer Science, Engineering, or related field.
 </li>
 <li>
 Background in software engineering &rarr; ML path.
 </li>
 <li>
 Experience with agentic workflows or adjacent skills such as prompt tuning, eval pipelines, or automation frameworks.
 </li>
 <li>
 Startup experience: demonstrated scrappiness, speed, and bias toward shipping.
 </li>
 <li>
 Exposure to both startup agility and big tech engineering rigor is ideal.
 </li>
 <li>
 Strong communication skills and ability to collaborate in fast-paced, ambiguous environments.
 
 
 </li>
 </ul>
 
 Why Join Qualified Health?
 
 
 
 This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
 
 
 Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.
 
 
 
 Our Commitment to Diversity
 
 
 
 Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
 
 
 
 Pay &amp; Benefits
 
 
 
 The pay range for this role is between $180,000 and $250,000, depending on skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
 
 
 
 
 Join our mission to revolutionize healthcare with AI.
 
 
 To apply, please send your resume through the application below.
</div>

Applied AI Engineer

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 
 
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
 
 
 
 Type: Remote, Full-time
 
 
 
 Role Overview
 
 
 As an Applied AI Engineer(Automation), you will deliver high-impact AI and automation solutions for clients&mdash;owning work from requirements discovery through prototype and production deployment. You&rsquo;ll build reliable, maintainable systems that integrate LLMs into real business workflows via APIs, automation platforms, and backend services.
 
 
 This is a mid-to-senior individual contributor role. You&rsquo;ll collaborate closely with Solutions Architects, Delivery/Engagement leads, and Product Managers to scope, build, ship, and iterate on client solutions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design &amp; Deploy: Design, develop, and deploy tailored AI and automation solutions aligned to client objectives
 </li>
 <li>
 Build Workflows &amp; Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systems
 </li>
 <li>
 Agentic Systems: Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs
 </li>
 <li>
 Retrieval &amp; Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate
 </li>
 <li>
 Prototype &rarr; Production: Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team
 </li>
 <li>
 Client Partnership: Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders
 </li>
 <li>
 Ongoing Support &amp; Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations
 </li>
 <li>
 Documentation: Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability
 </li>
 <li>
 Continuous Learning: Stay current on LLM tooling and delivery best practices to improve quality and speed
 
 
 </li>
 </ul>
 Success in This Role Looks Like
 
 
 <ul>
 <li>
 Solutions consistently meet or exceed client expectations and show measurable impact (time saved, cost reduced, improved conversion/deflection, faster cycle time)
 </li>
 <li>
 Clients trust you as a go-to engineering partner and expand usage of deployed AI workflows
 </li>
 <li>
 Deliveries are production-ready: monitored, testable, documented, and maintainable
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;8 years of software or AI engineering experience (mid-to-senior)
 </li>
 <li>
 2&ndash;3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior)
 </li>
 <li>
 Strong Python engineering skills and experience building APIs/services (e.g., FastAPI)
 </li>
 <li>
 Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practices
 </li>
 <li>
 Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations
 </li>
 <li>
 Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch
 </li>
 <li>
 Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka)
 </li>
 <li>
 Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required)
 </li>
 <li>
 Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle management
 </li>
 <li>
 Experience with graph databases / knowledge graphs
 </li>
 <li>
 Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness)
 </li>
 <li>
 Prior consulting experience or work in fast-paced startup environments
 
 
 </li>
 </ul>
 
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 
 Powered by JazzHR
 
 
 DXag1oObkj
</div>

Applied AI Engineer (Automation)

Ascertain

<div><h2 class="jobSectionHeader">Meet Ascertain</h2>
Ascertain is building AI agents to automate the administrative work that burdens care teams. We are in major health systems and large specialty groups, saving hundreds of staff hours every week.
Our backers include Northwell Health, New York&rsquo;s largest health system, and Deerfield Management, a leading healthcare investment firm.
Together, we&rsquo;re on a mission to restore time, trust, and focus to the people who keep healthcare running. Our work is urgent &mdash; not because of startup timelines, but because our customers rely on us to drive financial resilience and operational clarity in a system under strain.<h2 class="jobSectionHeader"> 
About the role</h2>
You'll be one of the first dedicated AI engineers focused on agentic systems at Ascertain. Your near-term mandate is concrete: build voice agents that call payers on our behalf to check the status of prior authorization submissions, follow up on outstanding requests, and capture structured outcomes back into our systems. Today, this work is done by humans sitting on hold; you'll replace large parts of that with agents that are faster, more reliable, and never get tired.
Over time, the scope of this role will grow well beyond voice. As we lean further into AI across the company, you'll have a hand in shaping how Ascertain builds, evaluates, and operates agents of all kinds&mdash;voice, chat, document understanding, internal tooling, and beyond. We're looking for an AI engineering generalist who's excited to start with voice and build outward from there.<h2 class="jobSectionHeader">
What you'll do</h2><ul><li>
Design, build, and ship voice agents that conduct outbound calls to payers - handling IVR navigation, hold queues, multi-turn dialogue with human reps, and structured data capture.</li><li>
Integrate telephony, speech-to-text, text-to-speech, and LLM components into reliable end-to-end pipelines, and own them in production.</li><li>
Build the evaluation and QA infrastructure that lets us measure agent quality, catch regressions, and continuously improve performance against real-world calls.</li><li>
Develop and maintain the APIs and integrations that connect agent outputs to the rest of our prior authorization workflow.</li><li>
Instrument everything: call outcomes, agent behavior, latency, failure modes - and use that data to make the next version better.</li><li>
Partner closely with our operations and clinical teams to identify the highest-leverage workflows to automate next, and translate those into agent designs.</li><li>
As the AI surface area at Ascertain grows, expand into other agent and LLM-driven systems across the product and internal tooling.</li></ul><h2 class="jobSectionHeader">
What we're looking for</h2>
Required<ul><li>
4+ years of professional software engineering experience owning production systems end-to-end&mdash;from design through deployment, monitoring, and iteration.</li><li>
2+ years of professional Python experience building APIs, services, or data workflows.</li><li>
Hands-on experience developing or deploying LLM-based applications or RAG systems in a real production setting (not just prototypes).</li><li>
Comfort operating with ambiguity and shipping the first version of something that doesn't exist yet.</li></ul>
Strongly preferred<ul><li>
Hands-on experience with voice or conversational systems - IVR, call automation, speech-to-text, telephony APIs (Twilio, etc.), or conversational agents.</li><li>
Experience implementing QA processes and evaluation frameworks for agentic or LLM-based systems.</li><li>
Track record of building and maintaining RESTful APIs and third-party integrations.</li><li>
Proficiency with observability and monitoring tools for production reliability.</li><li>
Experience with version control and automated CI/CD deployment pipelines.</li><li>
Comfort managing SQL or NoSQL databases for storing and analyzing interaction data.</li><li>
Healthcare, payer, or revenue cycle domain experience (helpful but absolutely not required).</li></ul>
Benefits &amp; Perks<ul><li>
Meaningful work: Your work will directly impact healthcare organizations by reducing administrative burden and improving how care teams operate day to day.</li><li>
Ownership and growth: You&rsquo;ll join Ascertain at an early stage, with meaningful equity and the opportunity to shape our product, technical direction, and how this function evolves over time.</li><li>
Competitive compensation: We offer a competitive salary, meaningful equity, comprehensive health benefits, and other standard benefits appropriate for a growing company.</li><li>
Flexible work model: This role is remote-friendly. For NYC-based team members, we support a hybrid model with regular in-office collaboration. We trust people to manage their time and work like adults.</li></ul>
Collaborative team: You&rsquo;ll work alongside a thoughtful, mission-driven team with backgrounds spanning healthcare operations, product, and engineering.
Why Ascertain? Make a real difference: Your work will directly impact healthcare organizations and improve patient care. Join Ascertain in transforming healthcare with AI!
Compensation Range: $130K - $175K</div>

Accenture

<div>
 
 We Are
 
 
 
 Accenture's Oracle Business Group AI Center of Excellence is one of the most active enterprise AI innovation environments in the Oracle ecosystem.
 
 
 We build real products that close deals and run in production &mdash; a knowledge platform spanning 27 Oracle knowledge servers and 980K+ documents. We move at startup speed inside a global platform, and we're scaling fast.
 
 
 This is a founding team, these first hires will shape the culture, the systems, and the trajectory of the work we are doing!
 
 
 
 You Are
 
 
 
 You're an AI builder who doesn't wait for permission. You've rebuilt how you work around AI agents &mdash; not just adopted them. You ship agentic systems, you know the Anthropic ecosystem, and when a new research paper or open-source repo drops, you're testing it the next day. You have an instinct for turning cutting-edge AI into commercial value.
 
 
 You're equally comfortable in a technical deep-dive and a client conversation.
 
 
 You might come from engineering, consulting, product, or pre-sales &mdash; what matters is that you build things that work and can explain why they matter.
 
 
 
 The Work
 
 
 
 <ul>
 <li>
 Contribute to the Knowledge Repository &mdash; a multi-tenant enterprise knowledge platform built on Oracle 23ai, powering intelligent search and document retrieval at scale
 </li>
 <li>
 Build and extend MCP server infrastructure &mdash; our federated Model Context Protocol network across Oracle product lines, including retrieval pipelines and evaluation frameworks
 </li>
 <li>
 Accelerate AI-assisted sales pursuits &mdash; helping sales teams win faster with AI-generated content, live demo agents, and intelligent presentation assets
 </li>
 <li>
 Serve as an Anthropic / AI coding agent SME across internal teams and client-facing engagements
 </li>
 <li>
 Partner with solution architects, sales, and delivery teams to embed AI across the Accenture-Oracle alliance
 
 
 </li>
 </ul>
 Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
 
 
 
 Here's What You Need
 
 
 
 <ul>
 <li>
 Minimum of 5 years experience in software engineering, AI/ML, or enterprise technology
 </li>
 <li>
 Minimum of 1 year of experience with hybrid retrieval systems &mdash; vector search, knowledge graphs, or structured search pipelines &mdash; and an understanding of context engineering as the layer that makes agents reliable
 </li>
 <li>
 Minimum of 1 year of hands-on experience building and deploying agentic AI systems &mdash; Claude/Anthropic, or equivalent
 </li>
 <li>
 Experience with Model Context Protocol (MCP) servers, agentic harness frameworks, or tool-use orchestration
 </li>
 <li>
 Experience designing evaluation frameworks or quality gates for AI system output
 </li>
 <li>
 Proven ability to be able to translate complex AI concepts for both technical and non-technical audiences
 </li>
 <li>
 Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate&rsquo;s Degree, must have equivalent minimum 6-year work experience
 
 
 </li>
 </ul>
 
 Bonus Points If
 
 
 
 <ul>
 <li>
 You have functional Oracle knowledge &mdash; EPM, ERP, or OCI
 </li>
 <li>
 You have experience with agentic harness frameworks
 </li>
 <li>
 You have a pre-sales, sales solutioning, or client-facing delivery background
 </li>
 <li>
 You have startup, entrepreneurial, design or product-led environment experience
 </li>
 <li>
 You have consulting or professional services background in large-scale digital transformation
 
 
 </li>
 </ul>
 Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
 
 
 We anticipate this job posting will be posted until 5/25/2026
 
 
 Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: &lt;a href="https://www.accenture.com/us-en/careers/local/benefits" target="_blank" data-cmp-clickable="" data-cmp-data-layer="{"jobdetail-1e0b7e5710-Qualification-item0":{"analytics-link-name":"u.s. employee benefits | accenture","analytics-link-type":"engagement","xdm:linkURL":"https://www.accenture.com/us-en/careers/local/benefits","analytics-engagement":"true"}}" rel="noopener noreferrer"&gt;U.S. Employee Benefits | Accenture
 
 
 
 Role Location Annual Salary Range
 
 
 
 California $73,800 to $218,800
 
 
 Cleveland $68,300 to $175,000
 
 
 Colorado $73,800 to $189,000
 
 
 District of Columbia $78,500 to $201,300
 
 
 Illinois $68,300 to $189,000
 
 
 Maryland $73,800 to $189,000
 
 
 Massachusetts $73,800 to $201,300
 
 
 Minnesota $73,800 to $189,000
 
 
 New York $68,300 to $218,800
 
 
 New Jersey $78,500 to $218,800
 
 
 Washington $80,200 to $201,300
 
 
 New York City, NY
 
 
 Albany, NY
 
 
 Arlington, VA
 
 
 Atlanta, GA
 
 
 Austin, TX
 
 
 Beaverton, OR
 
 
 Bentonville, AR
 
 
 Boston, MA
 
 
 Carmel, IN
 
 
 Charlotte, NC
 
 
 Chicago, IL
 
 
 Cincinnati, OH
 
 
 Cleveland, OH
 
 
 Columbus, OH
 
 
 Culver City, CA
 
 
 Denver, CO
 
 
 Des Moines, IA
 
 
 Detroit, MI
 
 
 Hartford, CT
 
 
 Houston, TX
 
 
 Irving, TX
 
 
 Kirkland, WA
 
 
 Miami, FL
 
 
 Milwaukee, WI
 
 
 Minneapolis, MN
 
 
 Morristown, NJ
 
 
 Mountain View, CA
 
 
 Nashville, TN
 
 
 Oklahoma City, OK
 
 
 Overland Park, KS
 
 
 Philadelphia, PA
 
 
 Pittsburgh, PA
 
 
 Raleigh, NC
 
 
 Redmond, WA
 
 
 Sacramento, CA
 
 
 San Diego, CA
 
 
 San Francisco, CA
 
 
 Scottsdale, AZ
 
 
 Seattle, WA
 
 
 St. Louis, MO
 
 
 St. Petersburg, FL
 
 
 Walnut Creek, CA
 
 
 
 Requesting an Accommodation
 
 
 
 Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
 
 
 If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an &lt;a href="/us-en/about/contact-us" target="_self" class="cmp-text__link cmp-text__link--default" data-barba-transition="true" data-cmp-clickable="" data-cmp-data-layer="{"jobdetail-1e0b7e5710-Additional Information-item0":{"analytics-link-name":"email","analytics-link-type":"engagement","xdm:linkURL":"/us-en/about/contact-us","analytics-engagement":"true"}}" rel="noopener noreferrer"&gt;email or speak with your recruiter.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
 
 
 For details, view a copy of the &lt;a href="/content/dam/accenture/final/accenture-com/document-4/Accenture-Equal-Opportunity-Statement.pdf#zoom=50" title="Opens the PDF full report, Annual policy statement regarding equal employment opportunity and affirmative action statement , in a new tab." target="_blank" class="cmp-text__link cmp-text__link--default" data-tooltip="Opens the PDF full report, Annual policy statement regarding equal employment opportunity and affirmative action statement , in a new tab." data-cmp-clickable="" data-cmp-data-layer="{"jobdetail-1e0b7e5710-Additional Information-item1":{"analytics-link-name":"accenture equal opportunity statement","analytics-link-type":"engagement","xdm:linkURL":"/content/dam/accenture/final/accenture-com/document-4/Accenture-Equal-Opportunity-Statement.pdf#zoom=50","analytics-engagement":"true"}}" rel="noopener noreferrer"&gt;Accenture Equal Opportunity Statement
 
 
 Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
 
 
 Accenture is committed to providing veteran employment opportunities to our service men and women.
 
 
 
 Other Employment Statements
 
 
 
 Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
 
 
 Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
 
 
 Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
 
 
 The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
 
 
 California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please &lt;a href="/us-en/careers/support/e-verify-legal-notices" target="_self" class="cmp-text__link cmp-text__link--default" data-barba-transition="true" aria-label="please click here for additional important information." data-cmp-clickable="" data-cmp-data-layer="{"jobdetail-1e0b7e5710-Additional Information-item2":{"analytics-link-name":"click here","analytics-link-type":"engagement","xdm:linkURL":"/us-en/careers/support/e-verify-legal-notices","analytics-engagement":"true"}}" rel="noopener noreferrer"&gt;click here for additional important information.
 
 
 Please read Accenture&rsquo;s &lt;a href="/us-en/careers/support/privacy-statement" target="_self" class="cmp-text__link cmp-text__link--default" data-barba-transition="true" data-cmp-clickable="" data-cmp-data-layer="{"jobdetail-1e0b7e5710-Additional Information-item3":{"analytics-link-name":"recruiting and hiring statement","analytics-link-type":"engagement","xdm:linkURL":"/us-en/careers/support/privacy-statement","analytics-engagement":"true"}}" rel="noopener noreferrer"&gt;Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
 
 
 We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
 
 
 We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
 
 
 At Accenture, we see well-being holistically, supporting our people&rsquo;s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We&rsquo;re proud to be consistently recognized as one of the World&rsquo;s Best Workplaces&trade;.
 
 
 Join Accenture to work at the heart of change. Visit us at &lt;a href="https://www.accenture.com" target="_blank" data-cmp-clickable="" data-cmp-data-layer="{"jobdetail-1e0b7e5710-About Accenture-item0":{"analytics-link-name":"www.accenture.com","analytics-link-type":"engagement","xdm:linkURL":"https://www.accenture.com","analytics-engagement":"true"}}" rel="noopener noreferrer"&gt;www.accenture.com.
</div>

Applied AI Engineer, Founding Team

Zoolatech

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div>ATRC's Data &amp; AI Office is a product and platform execution team &mdash; not a traditional enterprise data function. We build and operate AI-enabled systems that create measurable operational impact across the organization. Our primary output is working software in production.
What we are building &mdash; now:<ul><li>
An executive reporting portal serving senior leadership, integrating live data from SAP, Microsoft 365, SuccessFactors, and internal systems across multiple operational views (finance &amp; budget, KPIs, technology portfolio, news, wellbeing, and a personalized executive home)</li><li>
A sovereign data and AI platform: data warehouse, governed pipelines, metadata catalog, and classification enforcement across all entities</li><li>
Data mesh architecture with federated ownership &mdash; each entity owns its data products; the platform provides governed access</li><li>
Data readiness for the organization's agentic AI platform &mdash; clean, structured, governed data so AI agents can operate on trusted sources</li><li>
Operational AI agents delivering real value on top of the agentic platform (document triage, anomaly detection, automated briefings, classification automation)</li><li>
AI-enabled situational awareness and crisis management systems</li><li>
Data governance and classification &mdash; managing an active external vendor engagement, bridging framework deliverables into platform-enforced rules, and building the ongoing
governance operations the organization requires</li></ul>
How we work:<ul><li>
Small team, high ownership &mdash; every engineer owns a module end-to-end</li><li>
Two-week sprints with demonstrated output at every review</li><li>
Ship and improve &mdash; working systems beat perfect designs</li><li>
Core team owns all architecture and product decisions; external capacity executes within defined scope</li><li>
Decisions take hours, not weeks. Daily technical choices are made by the engineer.</li><li>
Feature scope decisions take 24 hours. Architecture pivots take 48 hours. Nothing sits in limbo.</li><li>
Oversee 5 other workstreams powered by 3rd party vendors within the ecosystem but whom we are ultimately accountable for</li></ul>
</div><div>Builds the AI capabilities that operations depend on &mdash; classification automation, production agents, and the data bridge to the agentic platform.
Mission
Build, own, and continuously improve the AI capabilities across the office's production systems, working under the direction of the Principal AI Engineer. Your scope: automated data classification (remediating what's currently broken), AI-generated briefings, and operational AI agents that deliver real value in weeks.
An external partner is building an agentic platform that ATRC will use. Your role in that relationship: define the data contracts the platform consumes, evaluate the sample agents delivered, and build the production agents on top of the platform that go beyond demonstrations into real operational use. You don't build the platform &mdash; you make sure ATRC's data is ready for it and that what gets built on top of it actually works.
What This Role Owns<ul><li>
Data classification automation: implementing automated classification to remediate current failures, embedding classification into data pipelines alongside the Governance</li><li>
Lead Operational AI agents: building production agents on top of the agentic platform &mdash; going beyond the sample agents the external partner delivers into real operational workflows</li><li>
Agentic platform data contracts: defining what data the platform needs, in what format, with what quality guarantees &mdash; working with the Principal AI Engineer</li><li>
AI service implementation: FastAPI service around LLM APIs with versioned prompt templates</li><li>
Classification and briefing prompts: structured prompts returning validated JSON with tags, confidence levels, source attribution</li><li>
Prompt versioning: templates in configuration, editable without code changes</li><li>
Observability: every LLM call logged with input hash, model version, output, latency, token count</li><li>
Fallback logic: graceful degradation when LLM APIs are unavailable</li><li>
Quality evaluation: running precision/recall evaluations against human reviewer samples, reporting results, iterating prompts</li></ul>
Key Decisions<ul><li>
Prompt implementation &mdash; few-shot examples, output parsing, error handling</li><li>
Confidence threshold tuning based on evaluation results</li><li>
Context window packing &mdash; what data fits within token budgets</li><li>
Fallback behavior when APIs degrade</li><li>
Agent evaluation &mdash; whether an external partner's sample agent is production-ready or needs rework</li><li>
Bug triage for AI components &mdash; autonomous fix vs. escalate to Principal AI Engineer</li></ul>
Does Not Do<ul><li>
Define AI architecture or agent design patterns (Principal AI Engineer)</li><li>
Build the agentic platform itself (external partner)</li><li>
Build the backend API or data pipelines</li><li>
Fine-tune or train models</li><li>
Define governance policies (Governance Lead)</li></ul>
Ideal Candidate
Has shipped an LLM-based feature that non-technical users depend on daily &mdash; and has been responsible when it breaks. Knows the hardest part of applied AI is the fallback, the observability, and the human review loop &mdash; not the prompt. Can evaluate someone else's agent demo and quickly identify whether it's production-ready or held together with string. Works well under a senior AI lead &mdash; takes architectural direction and executes with high quality and speed. Not attached to a particular model &mdash; the job is reliable output.
</div><div><ul><li>LLM APIs (Claude, GPT-4, open-weight models) &mdash; structured output, JSON mode, system prompts</li><li>
Prompt engineering for classification &mdash; zero-shot and few-shot</li><li>
Python &mdash; async API calls, retry logic, exponential backoff</li><li>
LLM evaluation &mdash; precision/recall, human-AI agreement scoring</li><li>
Structured output &mdash; JSON schema enforcement, Pydantic validation</li><li>
Open-weight / sovereign model APIs (Falcon, Llama, or equivalent)</li><li>
Token budgeting and context window management</li><li>
AI observability &mdash; output quality monitoring, anomaly detection</li><li>
FastAPI and Docker</li></ul>
</div></div></div><div><div><div><div>Location:
<div>Istanbul, Turkey
</div></div><div>Seniority:
<div>Senior
</div></div><div>Technologies:
<div>Python
</div></div></div></div><div><div>Benefits:
<ul><li>Paid Vacation
</li><li>Hybrid Work (home/office)
</li><li>Sick Days
</li><li>Sport/Insurance Compensation
</li><li>Holidays Day Off
</li><li>English Classes
</li><li>Training Compensation
</li><li>Transportation compensation</li></ul></div></div></div></div></div></div>

AI Engineer

GEICO

<div>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
GEICO is seeking a Staff Engineer, Applied AI to help shape how Generative AI enhances customer and associate experiences across the enterprise. This is a senior, hands-on individual contributor role for someone with deep technical expertise, strong collaboration skills, and a proven ability to deliver scalable, resilient, production-ready AI systems.
You will partner with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience. You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a culture of learning, curiosity, and innovation.
What You Will Do<ul><li>
Identify and evaluate opportunities for automating business processes using AI, intelligent workflows, and agent-based systems.</li><li>
Architect, build, and deploy applied AI solutions across high-value enterprise workflows including automation, document intelligence, decision support, and intelligent assistants.</li><li>
Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale.</li><li>
Build systems and services that meet high standards for scalability, resilience, performance, and availability.</li><li>
Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows.</li><li>
Collaborate with product, engineering, operations, and analytics partners to co-create scalable AI solutions and translate business needs into technical designs.</li><li>
Mentor engineers and scientists who want to develop AI and agentic workflow skills through coaching, pairing, reviews, and architectural guidance.</li><li>
Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges.</li><li>
Lead through technical influence by providing guidance on architecture, experimentation, and deployment across multiple teams.</li><li>
Run rigorous experimentation and evaluation including hypothesis definition, measurement, validation, and iterative improvement in production environments.</li><li>
Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.</li></ul>
What We Are Looking For (Must Have)<ul><li>
8 or more years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production.</li><li>
Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs.</li><li>
Demonstrated experience designing, building, and operating production AI systems including agentic workflows and intelligent automation features.</li><li>
Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production.</li><li>
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration.</li><li>
Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts.</li><li>
Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design.</li><li>
A history of delivering measurable business outcomes from AI systems.</li><li>
Strong competency in distributed systems, service design, performance optimization, and reliability engineering.</li></ul>
Nice to Have<ul><li>
Experience building advanced Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures.</li><li>
Experience with insurance, financial services, or other regulated industries.</li><li>
Experience deploying AI components in Java ecosystems including Spring AI, LangChain4j, or Embabel.</li><li>
Background in document intelligence, fraud or anomaly modeling, or complex ontology and knowledge graph design.</li><li>
Familiarity with AI safety practices, evaluation frameworks, monitoring, and regulatory compliance.</li><li>
Ability to effectively communicate complex technical topics to senior leadership and non-technical stakeholders.</li></ul>
Who You Are<ul><li>
A collaborative engineer who works well with cross-functional partners and supports the growth of those around you.</li><li>
A hands-on builder who ships reliable, scalable, production-grade systems rather than stopping at proof of concept.</li><li>
Someone who understands how to design systems that scale smoothly, recover gracefully, and operate reliably under load.</li><li>
An innovative thinker who explores new approaches, tools, and architectures and applies them thoughtfully.</li><li>
A natural mentor who enjoys helping others develop AI, LLM, and agentic workflow skills.</li><li>
A systems thinker who can connect LLMs, vector search, agents, and knowledge graphs into cohesive solutions.</li><li>
Driven by real-world impact, customer value, and long-term engineering excellence.</li></ul>
Why Join GEICO<ul><li>
Build the next generation of AI-powered enterprise workflows and intelligent automation.</li><li>
Work on high-impact problems at large operational scale.</li><li>
Collaborate with a talented engineering organization focused on advancing AI capabilities.</li><li>
Set the standard for responsible and production-grade AI deployment across the enterprise.</li><li>
Mentor and inspire future AI builders across the company.</li></ul> 
Annual Salary
$115,000.00 - $230,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

At this time, GEICO will not sponsor a new applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Staff Engineer - Applied AI

Apple Federal Credit Union

<div>At Apple Federal Credit Union, we&rsquo;re more than a financial institution; we&rsquo;re a community-focused organization powered by passionate people. With 24 branches across Northern Virginia and a proud legacy of service, we&rsquo;re committed to improving the lives of our members and the communities we serve.
We believe our employees are our greatest asset. That&rsquo;s why we foster a supportive workplace culture that values inclusiveness, innovation and growth. Whether you&rsquo;re just starting out or advancing your career, you&rsquo;ll find opportunities for professional development, mentorship and meaningful impact.
Why Work at Apple FCU<div><ul><li>
Recognized as a USA Top Workplace (2025) and Top Workplace by The Washington Post (2025)</li><li>
Collaborative, welcoming environment with forward-thinking leadership</li><li>
Competitive, comprehensive benefits package, including:<ul><li>
Medical, dental and vision coverage</li><li>
401(k) with employer match</li><li>
Paid time off and 11 paid federal holidays</li><li>
Paid volunteer time to give back</li><li>
Tuition reimbursement and ongoing training opportunities</li><li>
Annual TEAM Bonus plan.</li></ul></li></ul><div><div>
Role:</div><div><div> 
Under the general supervision of the Manager, AI &amp; Data Engineering, and in adherence to established policies and procedures, the AI Solutions Engineer II will be responsible for designing, building, and operationalizing AI-powered solutions that transform how staff discover and consume Apple FCU&rsquo;s enterprise data. This role will serve as a hands-on technical builder who leverages the data platform and curated datasets created by the Data Analytics team to deliver secure, reliable, and scalable AI experiences&mdash;such as internal agents that enable staff to ask natural-language questions and receive accurate, explainable answers grounded in governed data. 
The AI Solutions Engineer will own key technical decisions and implementations required to make AI usable in production, including AI tooling selection and development, integration patterns, Azure compute/runtime considerations, and end-to-end operational supportability (monitoring, logging, error handling, and deployment discipline). The role will partner closely with Data Engineering, Data Analytics leadership, Cybersecurity/IT stakeholders, and business partners to ensure solutions meet business needs while maintaining appropriate governance, privacy, and security controls. 
The candidate will be expected to perform their duties with a mindset that reflects The Apple Way principles: Team Up, Serve with Purpose, Challenge Yourself, and Own It. A keen awareness of and compliance with credit union policies and procedures, as well as regulations pertaining to the Bank Secrecy Act, is imperative. Additionally, the AI Solutions Engineer will undertake other information technology responsibilities as delegated by the Manager, AI &amp; Data Engineering.<div><div> 
Essential Functions &amp; Responsibilities:
Build AI-powered data consumption experiences<ul><li>
Design and implement staff-facing AI experiences that allow non-technical users to ask questions in natural language (e.g., &ldquo;How many members opened accounts yesterday?&rdquo;) and receive accurate, explainable answers grounded in governed enterprise data.</li>
Implement safe &ldquo;natural language<li> analytics&rdquo; workflows (query planning, schema/metadata grounding, semantic definitions, and response formatting) that prioritize correctness, interpretability, and repeatability.</li><li>
Ensure AI outputs include the appropriate context (definitions, time windows, filters used, and confidence/limitations) to reduce misinterpretation and improve trust.</li><li>
Partner with Data Engineering to assess and improve AI-readiness of enterprise datasets, develop metadata, semantic labeling, and data quality standards needed for AI outputs.</li></ul>
Own AI tooling selection, engineering standards, and integrations<ul><li>
Own the technical evaluation, selection, and implementation of AI tooling used to deliver internal AI solutions (model/provider choices, orchestration patterns, retrieval patterns, evaluation harnesses, monitoring/telemetry patterns).</li><li>
Evaluate and develop agentic AI solutions that will assist in everyday organizational processes, build out multi-step workflows that will act on enterprise data with appropriate oversight and traceability.</li><li>
Develop reusable &ldquo;golden path&rdquo; components that the team can consistently apply: prompt templates, retrieval patterns, tool/function calling patterns, safety/guardrail patterns, logging and tracing, and secure data access adapters.</li></ul>
Partner with Data Engineering to define and maintain the interfaces between the AI consumption layer and the governed data platform (Fabric/Warehouse/Lakehouse), ensuring minimal friction for future AI use cases. 
Azure runtime, compute, and operational ownership<ul><li>
Architect and implement the runtime environment for AI services (Azure hosting patterns, identity, secrets, compute scaling, performance tuning, cost controls) to ensure production-grade reliability and supportability.</li><li>
Implement observability and operational discipline for AI solutions: telemetry, auditing, error handling, incident response hooks, and maintainable runbooks.</li><li>
Establish release and change discipline for AI solutions (dev/test/prod separation where applicable, automated deployment patterns, rollback approach).</li></ul>
Governance, security, and responsible AI guardrails<ul><li>
Ensure AI solutions comply with Apple FCU&rsquo;s AI Policy and enterprise security expectations, including data access controls, privacy safeguards, auditability, and human oversight mechanisms.</li></ul>
Partner with stakeholders (Cyber/IT governance) to build out AI governance framework and ensure AI tools do not introduce unacceptable data exposure risk; support third‑party AI assessments as needed (data usage boundaries, retention, model training exclusions, access logging). 
Enablement and adoption (turn capability into usage)<ul><li>
Create practical enablement materials and lightweight training for staff on how to use AI data agents effectively and responsibly (what it can/can&rsquo;t answer, how to phrase questions, how to validate outputs).</li></ul>
Operate as a &ldquo;builder + evangelist&rdquo;: identify adoption blockers, iterate on UX and response quality, and drive measurable increases in self-service usage while reducing manual analyst/engineer lift. 
 
Experience:<ul><li>
5&ndash;8+ years of demonstrated, relevant experience in software engineering, data engineering, platform engineering, and/or applied AI engineering.</li><li>
Strong proficiency in Python (and/or C#) and modern engineering practices (Git, code reviews, testing, CI/CD, observability).</li><li>
Working knowledge of Azure and cloud-native design patterns (secure identity, networking, secrets management, scaling/compute, cost awareness).</li><li>
Strong working knowledge of SQL and data warehousing/lakehouse concepts; ability to safely operationalize natural-language analytics patterns using governed datasets and business definitions.</li><li>
Demonstrated ability to evaluate tools pragmatically (build vs. buy), select architectures, and ship production solutions in ambiguous environments (&ldquo;think and do&rdquo;).</li><li>
Demonstrated experience with RAG patterns, vector search, prompt engineering, and LLM output evaluation techniques</li><li>
Familiarity with emerging agentic AI platforms and runtimes, with the ability to evaluate and explore available tools that support persistent agent execution, governance, and security</li><li>
Demonstrated understanding of responsible AI expectations (human oversight, privacy, security, transparency, and risk management) and ability to implement guardrails accordingly.</li></ul>
Education:<ul><li>
BA/BS degree with an emphasis in IT/IS, Computer Science or equivalent combination of experience and relevant certifications</li></ul><div><div>
Must possess excellent verbal and written communication skills. The ability to motivate or influence others is a material part of the job, requiring a significant level of diplomacy and trust. Obtaining cooperation (internally and/or externally) is an important part of the job. Must be able to communicate complex AI concepts to diverse audiences, ensuring clarity and understanding across all levels of the organization. Collaborates effectively with cross-functional teams to achieve AI objectives, exemplifying leadership and team-building abilities.
Strong analytical, prioritizing, interpersonal, problem-solving, presentation, allocating, project management (from conception to completion), &amp; planning skills.
Strong verbal and written communication skills (including analysis, interpretation, &amp; reasoning).
Skilled at understanding, detailing, and describing complex technical subjects, and aligning business capabilities to Technology solutions.
Ability to develop and maintain collaborative relationships with peers and colleagues across the organization, as well as internal and external clients.
Ability to work well autonomously and within a team in a fast-paced and deadline-oriented environment. 
 Apple Federal Credit Union values, encourages, and implements diversity in the workplace.
As an equal opportunity employer, Apple Federal Credit Union does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law.
All selected candidates will be subject to credit and background checks to determine employment eligibility.</div></div></div></div></div></div></div></div></div>

AI Solutions Engineer II

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