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Chevron

<div>Manages Chevron's insurance programs and collaborates with Chevron Law on the management of risk strategies.
<br>
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Supports medium sized clients/customers and makes significant contributions to more complex projects under periodic supervision. General knowledge of the work function and Chevron&rsquo;s practices.<p><b>
Chevron is accepting online applications for Insurance Analyst until September 20th at 11.59pm, Central time.
</b></p><p></p><p>We are seeking an Insurance Analyst or Senior Insurance Analyst to join Chevron's Corporate Insurance group in Chevron&rsquo;s Treasury Department. This role supports Chevron's global insurance and risk management activities through the design, placement, administration, and analysis of corporate insurance programs. The position partners closely with business units, legal teams, project organizations, brokers, underwriters, and Treasury leadership to implement Chevron&rsquo;s preferred self-insurance approach, develop insurance solutions, provide risk transfer expertise, and support major projects, commercial transactions, and joint venture activities across Chevron's global operations.</p><p><br>
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As part of a collaborative team of insurance professionals, the Insurance Analyst/Sr. Insurance Analyst works closely with Corporate Insurance risk managers, business unit personnel, legal teams, and other Treasury functions across the company.</p><p>
This is an exciting opportunity to work as part of a collaborative and diverse team supporting an international portfolio of assets and organizations across the company.
</p><p></p><p><b>Key Considerations:</b></p><ul><li>
Position is located at Chevron's headquarters in Houston, Texas.</li><li>
This position provides an opportunity to develop deep expertise as an insurance subject matter expert supporting Chevron's global operations. The role may be filled at either the Insurance Analyst or Senior Insurance Analyst level based on the candidate's relevant experience, technical insurance knowledge, and demonstrated ability to independently manage complex insurance matters.
</li><li>The position may include direct responsibility for assigned insurance programs and processes while partnering with Corporate Insurance risk managers on broader or strategic insurance and risk management matters.</li><li>
Ability and willingness to travel to company operating locations on short notice. Domestic and international travel of up to 15% may be required.</li><li>
Chevron's Finance organization seeks career-minded professionals with strong technical capabilities and leadership potential. Chevron emphasizes continuous learning and development, enabling employees to build successful and rewarding careers. We believe employees drive their own development, and strong performance is recognized through opportunities for growth and advancement across the corporation.</li></ul><p></p><p><b>
Responsibilities for this position include but are not limited to:</b></p><p>
Company Insurance Programs</p><ul><li>
Coordinate with business units and corporate staff for the compilation of underwriting information required to support the process of arranging insurance;</li><li>
Respond to external stakeholders (brokers, underwriters) on requests for specific underwriting questions and issues, which commonly involves coordination with various internal operating groups;</li><li>
Evaluate insurance program alternatives and provide analytic support to Treasury management in helping to frame and implement preferred designs;</li><li>
Review draft insurance policy terms and conditions in coordination with brokers; finalize insurance policies and coordinate payment of premiums;</li><li>
Work closely with business units to identify, assess and mitigate key risks by means of appropriate insurance solutions;</li><li>
Coordinate the insurance claim recovery process for those programs arranged by the Insurance Analyst/Sr. Insurance Analyst and potentially for other company programs;</li><li>
Coordinate with business teams to arrange and facilitate broker RFP&rsquo;s as required.</li></ul><p></p><p>
Contract Analysis</p><ul><li>
Support business units and legal groups for review of exceptions to company&rsquo;s standard contract insurance language (e.g. oilfield service agreements);</li><li>
Liaise with Chevron commercial representatives in developing preferred language in various foundation agreements, such as JOAs;</li><li>
Communicate with contractors and vendors to explain and defend the company&rsquo;s position on insurance requirements in Chevron contract models;</li><li>
Review requests made to Chevron from outside parties for evidence of insurance; review contract obligations of Chevron; provide counsel to business and legal groups, and develop self-insurance letters or certificates of insurance, as required.</li></ul><p></p><p>
Joint Venture and other Specialty Insurance Programs</p><ul><li>
Coordinate with business units and joint venture partners for insurance programs required pursuant to contract or other local obligations;</li><li>
Support the company&rsquo;s major capital projects, for both contract review and construction insurance requirements;</li><li>
Consider the effective use of captives for the required insurance;</li><li>
Arrange and administer other unique insurance programs which may be required in special circumstances;</li><li>
Develop and apply insurance subject matter expertise to advise internal teams on potential risks and coverage requirements for specific assets;</li><li>
Assist in formulating the tender documents and provide guidance in the tender evaluation and selection process;</li><li>
Support commercial teams involved with various transactions, including divestitures or acquisitions.</li></ul><p></p><p>
Professional Development and Stakeholder Management</p><ul><li>
Remain current with insurance marketplace trends and developments to ensure awareness of available coverages, changes in insurance law and major legal decisions;</li><li>
Develop and maintain working relationships with business units, peers and external stakeholders (brokers, underwriters, loss adjusters);</li><li>
Provide guidance to business units on Chevron&rsquo;s insurance principles and philosophy, and assist with questions relating to Chevron&rsquo;s insurance approach;</li><li>
Prepare ad-hoc presentations and analyses as requested.</li></ul><p></p><p><b>
Required Qualifications:</b></p><ul><li>
Bachelor's or higher degree in Business, Economics, Engineering or related field;</li><li>
A minimum of 5 years relevant experience in corporate insurance, risk management, insurance brokerage, underwriting, or an insurance company environment.</li><li>
Demonstrated ability to analyze complex insurance issues and effectively communicate recommendations to business stakeholders.</li><li>
Experience reviewing contractual insurance requirements and risk transfer provisions, with a strong understanding of insurance fundamentals, coverage structures, and risk allocation principles sufficient to evaluate contractual exposures and provide practical business recommendations.</li><li>
Ability and willingness to travel domestically and internationally, including to Chevron operating locations worldwide, when required.</li></ul><p></p><p><b>
Preferred Qualifications</b>:</p><ul><li>
Professional insurance designations (e.g., CPCU, ARM, ARe, CRM) are beneficial but not required.</li><li>
Experience supporting energy, marine, industrial, or large-scale manufacturing operations and related capital projects is preferred.</li><li>
Knowledge of the design, development, placement, and administration of insurance programs utilizing both commercial insurance markets and captive insurance structures.</li><li>
Broad understanding of insurance programs and coverages commonly used in the energy industry and other large, complex multinational organizations.</li><li>
Experience or specialized knowledge in one or more of the following areas: directors and officers (D&amp;O), energy, marine, aviation, construction, or specialty insurance programs.</li><li>
Experience with surety, self-insured claims, or captive insurance programs is beneficial.</li><li>
Familiarity with risks and insurance considerations associated with emerging energy businesses, including hydrogen, CCUS, SAF, biofuels, and related technologies.</li><li>
Excellent communication and interpersonal skills, with a proactive and collaborative approach to problem solving.</li><li>
Strong analytical, organizational, and prioritization skills, with the ability to manage multiple competing priorities.</li><li>
Self-starter with sound judgment, intellectual curiosity, and the ability to balance strategic thinking with attention to detail.</li><li>
Ability to build effective relationships across functions and organizational levels, work collaboratively with stakeholders, influence without authority, and deliver on commitments.</li><li>
Comfortable utilizing a variety of technologies and applications, including Microsoft Office products such as Outlook, Teams, Word, Excel, and SharePoint.</li><li>
Ability to evaluate complex situations, recognize ambiguity, ask thoughtful questions, and develop data-driven recommendations and conclusions.</li><li>
Experience leveraging digital tools, data analytics, automation, and AI-enabled technologies to improve efficiency, enhance analysis, support decision making, and streamline business processes.</li></ul><p></p><p>
Relocation will not be considered.</p><p>
Expatriates will not be considered.</p><p><br>
U.S. Regulatory notice:</p><p></p><p>
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.</p><p></p><p>
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com.</p><p></p><p>
Chevron participates in E-Verify in certain locations as required by law.</p></div>

Insurance Analyst

Robots & Pencils

<div>
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  This position will be onsite in Houston 50% of the time.
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 </strong>
 We&rsquo;re looking for a Staff AI Engineer to lead the design and delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical leadership across the team.
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 In this role, you will work as a key technical leader on a cross-functional team, defining AI architecture, leading model development and optimization, and solving challenging integration problems. You&rsquo;ll be joining real, in-flight work where reliability, security, and scalability are critical. You&rsquo;ll establish engineering standards, raise the bar on how we build AI systems, and contribute to the technical decisions that shape how our AI work scales over time.
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 <strong>
  Why This Role Matters
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  <br/>
 </strong>
 At Robots &amp; Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate.
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 Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.
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  What You&rsquo;ll Do
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  Craft &amp; Delivery
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   Lead the design and implementation of complex ML/AI systems end-to-end, owning architecture decisions and driving solutions from research through production at scale
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   Build and evolve scalable ML platforms, pipelines, and infrastructure that support reliable, repeatable model development and deployment across teams
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   Set the standard for AI-forward engineering, using tools like Claude and Cursor with sophistication and helping the team adopt them effectively
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  Collaboration &amp; Communication
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   Partner with product, engineering, and leadership to shape AI strategy and align technical direction with business outcomes
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   Translate complex AI tradeoffs, risks, and opportunities into clear narratives that drive decision-making across technical and non-technical stakeholders
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   Lead design reviews and technical discussions, raising the bar for engineering rigor and constructive challenge across the team
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  </li>
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  Leadership &amp; Influence
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   Define AI architecture and engineering standards, bringing depth on tradeoffs, long-term implications, and responsible AI practices
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   Mentor and grow junior and mid-level engineers, multiplying impact through coaching, code reviews, and pairing on hard problems
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   Take ownership of the most ambiguous and highest-stakes pieces of work, driving them through to production with care for reliability, cost, and safety
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  </li>
 </ul>
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  What You&rsquo;ll Bring
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   7+ years professional software engineering experience, with 4+ years focused on AI/ML systems in production and deep hands-on experience with generative AI development
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   Expert software engineering background (Python or similar) with strong design sensibilities for scalable, maintainable systems
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   Deep expertise with cloud platforms, including in-depth understanding of AWS services and AWS GenAI offerings
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   Proven track record designing and shipping complex agentic systems in production environments
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   Mastery of AI frameworks and orchestration tools
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   Strong experience with evaluation frameworks and observability tools for LLM apps, including building these capabilities where they don't yet exist
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   Deep understanding of AI safety, responsible AI principles, prompt injection defenses, and PII handling
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   Extensive experience building RAG pipelines: chunking strategies, embedding models, vector databases, and advanced retrieval techniques
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   API design experience, including architecting and integrating with internal and third-party services at scale
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   Advanced cost optimization expertise: token economics, caching strategies, model routing, quantization
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   Strong working knowledge of Docker and Kubernetes for containerized deployments
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   Demonstrable, day-to-day usage and expert knowledge of AI-forward coding tools such as Claude Code and Cursor
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 The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $
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  $177,375 &ndash; $209,625 USD
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 .  We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
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 An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission.  We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
</div>


Staff AI Engineer

Hines

<div>Overview:
<div>
When you join Hines, you will embark on a career journey fueled by vision and guided by leaders who set the standards of our industry. Our legacy is rooted in innovation and excellence, earning us a spot on Fast Company&rsquo;s esteemed annual list of the World&rsquo;s Most Innovative Companies, as well as recognition as one of U.S. News &amp; World Report&rsquo;s Best Companies to Work For in 2024. Discover endless opportunities to grow and make your mark at Hines.</div>
Responsibilities:
<div>
Leveraging an AI-first approach, the Senior Manager - Real Estate Technology Infrastructure will be a bridge between our global company vision and the physical technology deployed across our international portfolio. You will ensure that our buildings are &quot;smart by design&quot; by managing the vendor ecosystem, establishing technical standards, and contributing the delivery of complex strategic projects. Your focus will be on the Operational Technology (OT) stack, building the processes and partnerships to ensure our buildings are secure, integrated, and future-ready. In this individual contributor position, you provide strategic ownership of the design, validation, and enforcement of building network and infrastructure standards across our property portfolio. The position balances architectural standards, delivery governance, and escalation ownership to ensure infrastructure platforms are secure, resilient, and aligned with business needs. This role reports to the Managing Director, Real Estate Technology Infrastructure. Responsibilities include, but are not limited to:</div><div></div><div><br>
**Hybrid position requiring at least three days per week in-office in downtown Houston**</div><ul><li>
Strategic Sourcing: Identify, vet, and manage global and regional vendors for building automation, networking, security systems, and related.</li><li>
Performance Governance: Establish and monitor Key Performance Indicators (KPIs) and Service Level Agreements (SLAs) for third-party service providers.</li><li>
Contract Management: Partner with Strategic Sourcing to negotiate enterprise-wide agreements that leverage our 25-country+ scale to drive cost efficiencies. Evaluate vendor proposals, quotes, licensing models, and support options; develop comparison materials and provide cost-risk tradeoff analysis to support leadership decision-making. Develop and maintain infrastructure standards for building networks, cybersecurity, and integrated systems to ensure consistency across all regions.</li><li>
Standardization: Create technical design guidelines that architects and general contractors must follow during the development or retrofit phase. Own the design, validation, and enforcement of building network and infrastructure standards for property environments, including wireless, switching, firewalls, and site connectivity. Incorporate security and risk considerations into infrastructure architecture decisions, including firewall design, redundancy models, failover strategies, and secure remote administration.</li><li>
Cross-Functional Liaison: Act as a technical lead between Technology, Management Services, Engineering, and Construction teams. Maintain portfolio-level visibility of infrastructure deployments, site readiness, remediation efforts, and transition status using enterprise service and project management tools. Ensure complete and accurate documentation, inventories, and configuration records are maintained to support audits, investigations, incident response, and ongoing operations. Support infrastructure requirements for physical security systems, building automation systems, and other safety-critical environments.</li><li>
Cybersecurity: Securing &quot;connected&quot; building assets, implementing network segmentation, and managing vulnerability patching for hardware. Security Control Systems: Standards for IP-CCTV, cloud-based Access Control, and visitor management systems. Other duties and responsibilities as assigned.</li><li>
You will contribute to oversight and governance across the following critical OT areas: Building Integration &amp; Automation: BMS/BAS, lighting controls, and IoT sensor integration via protocols like BACnet, Modbus, and MQTT. Networking &amp; Communications: Building LAN/WAN, Wi-Fi 6/7, 5G in-building solutions, and unified communications.</li></ul>
Qualifications:
<div>
Minimum Requirements include:</div><br>
<div></div><ul><li>
Bachelor&rsquo;s degree in MIS, Computer Science, or a related field from an accredited institution preferred or equivalent years of direct experience required.</li><li>
Professional Experience: 10&ndash;12 years of experience in OT infrastructure, specifically within the real estate or construction sectors.</li><li>
Global Mindset: Proven track record of managing projects or vendors across multiple time zones and regulatory environments.</li><li>
Practical experience leveraging AI tooling to realize insight and efficiency.</li><li>
Significant experience in operational infrastructure, network architecture, or technology operations supporting distributed environments.</li><li>
Demonstrated experience designing and supporting enterprise network and wireless architectures, including firewalls, VPNs, redundancy, and failover models.</li><li>
Experience supporting construction projects, property portfolios, or multi-site environments with active renovations and transitions preferred.</li><li>
Strong working knowledge of vendor and ISP coordination, technical oversight, and commercial evaluation.</li><li>
Project Management: Proficiency with tools like Procore, Bluebeam Revu, Jira, or Smartsheet is a plus.</li><li>
Technical Literacy: Deep understanding of how physical building systems (HVAC, elevators, utility meters) intersect with digital networks.</li><li>
Clear written and verbal communication skills with the ability to translate technical concepts for non-technical audiences.</li><li>
Ability and willingness to provide hands-on technical support when required while maintaining strong ownership, accountability, and communication practices.</li><li>
Proven ability to operate effectively in ambiguous, fast-paced, and high-pressure environments with cross-functional stakeholders.</li><li>
Willingness to provide occasional after-hours support for escalations or critical activities and to travel periodically in support of key projects or sites.</li><li>
Strong working knowledge of OT/IT networking inc. converged networks, and typical connected building systems (i.e., BAS, BMS, ACS, CCTV).</li><li>
Base competency of modern building systems &amp; &ldquo;smart&rdquo; infrastructure.</li><li>
Strong working knowledge of wireless technologies (i.e., DAS, managed Wi-Fi) preferred.</li><li>
Strong working knowledge of OT/IT cybersecurity frameworks, principles, and strategies.</li><li>
Network/communications certifications (i.e., CCNP, CCIE, CWNA) preferred.</li><li>
Strong cross-functional leadership and project management/stakeholder management.</li><li>
Proficiency with tools like Procore, Bluebeam Revu, Jira, or Smartsheet is a plus.</li><li>
Most duties shall be performed in an office setting at Hines&rsquo; HQ office in Houston.</li><li>
The nature of this role will require occasional work outside of Houston business hours to support escalations or critical activities in other regions..</li><li>
Domestic and international travel will be required periodically (less than 10% of the time) in support of key projects or sites. Travel assignments to certain sites may include requirements to wear provided personal protective equipment (PPE) and may include activities performed in a non-office environment, including outdoors.</li></ul>
Closing:
<div>
At Hines, we strive for excellence as a leading global real estate investment manager, driven by our by our belief that real estate is fundamentally about people. Our diverse portfolio spans $93.2 billion&sup1; of assets across such property types as living, office, retail, mixed-use, logistics and life science projects &ndash; all designed to enhance value, connection and inspiration. Our strategic approach integrates local expertise with global knowledge, taking calculated risks aligned with our convictions to exceed expectations and tailor solutions to our clients' needs.</div><div></div><div><br>
While our projects are renowned for enhancing cities and pioneering sustainable practices, we recognize that the true driving force behind Hines' success is our 5,000 dedicated employees in 30 countries who draw on our 65-year history to build the world forward. This is why we prioritize investing in our people, offering comprehensive training, competitive compensation, robust benefits and generous vacation packages. By centering our focus on the growth and wellbeing of our team, we cultivate an inclusive environment where everyone, including our clients, can thrive.</div><div></div><div><br>
Hines is proud to be named to Fast Company&rsquo;s prestigious annual list of the World&rsquo;s Most Innovative Companies for 2024. &sup1;Includes both the global Hines organization and RIA AUM as of December 31, 2023.</div><div></div><div><i><br>
We are an equal opportunity employer and support workforce diversity.</i></div><div></div><div><i><br>
No calls or emails from third parties at this time please.</i></div></div>

Senior Manager – Real Estate Technology Infrastructure

Deloitte

<div>
 Three hundred fifty million Americans rely on a healthcare system whose decision-making has become slow, costly, and adversarial - care delayed by prior authorization and paperwork, claims that misfire, clinical decisions made without the right information at the right moment, and patients who struggle to navigate or afford the care they need. Deloitte has a new AI-first effort, backed by $1B in committed investment, building the reasoning models and agentic systems to rebuild how that system decides - across payers, providers, and life sciences, and for the patients they serve - so that care is faster, fairer, and far less wasteful. This is not AI applied at the margins. It is a ground-up rebuild of the decision-making machinery behind American healthcare, at national scale.
 <br/>
 <br/>
 This is an early, well-funded build. You will own agent systems end to end - from architecture through production - and your work ships into live clinical and operational settings within your first months, not into a lab.
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 <br/>
 As an Agentic AI Engineer, you will design, build, and operationalize the LLM- and SLM-powered systems behind real healthcare decisioning - the reasoning, orchestration, retrieval, memory, and control layers that let intelligent agents operate reliably across the hardest decisions in the industry: clinical reasoning, prior authorization and claims integrity, care navigation, and the operational workflows that run across payers, providers, and life sciences. This is not a prompt-only role. We are looking for builders who think deeply about system behavior, grounding, and reliability where a wrong action has real consequences for patients and the clinicians who serve them.
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 You do not need a healthcare background. We pair every engineer with clinical and domain experts and teach you the domain - you bring the agentic engineering depth.
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 We hire on demonstrated depth, not years - the level you join at is determined through our interview process, based on the depth and judgment you demonstrate, not your years in a title.
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 Work you'll do
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 Agent architecture &amp; orchestration
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  <li>
   Design and implement agentic systems capable of multi-step reasoning, planning, tool use, and workflow execution against complex, regulated operational processes.
  </li>
  <li>
   Build stateful workflows using frameworks such as LangGraph and LangChain - including branching, retries, self-correction, human-in-the-loop checkpoints, and reusable orchestration patterns.
  </li>
  <li>
   Engineer for long-horizon reliability - multi-step task completion, recovery from compounding errors, planning under uncertainty, and robust tool use when individual steps fail.
  </li>
  <li>
   Build the reasoning behind regulated decisions - policy- and criteria-grounded outputs, structured proposer/critic/judge-style review, and auditable rationales for high-stakes decisions across the industry, from clinical review and prior authorization to claims integrity and care management.
   <br/>
   <br/>
  </li>
 </ul>
 Retrieval, grounding &amp; context engineering
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 <ul>
  <li>
   Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual compression, and grounding strategies.
  </li>
  <li>
   Engineer memory and context management - conversational state, persistent memory, retrieval-aware context assembly, and token-efficient context selection.
  </li>
  <li>
   Apply modern context-delivery patterns (e.g., MCP-style tool/context interfaces) so agents access the right information at the right time.
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  </li>
 </ul>
 Reliability, evaluation &amp; safety
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 <ul>
  <li>
   Implement observability and tracing for prompts, tool calls, retrieval quality, agent traces, failures, drift, latency, and production behavior.
  </li>
  <li>
   Apply guardrails, safety controls, and failure-handling to reduce hallucinations and unsafe actions.
  </li>
  <li>
   Evaluate agents at the trajectory and task level - multi-step task success, failure-mode and regression analysis, and sandboxed test environments - alongside retrieval- and generation-quality metrics, automated checks, and human review.
  </li>
  <li>
   Engineer healthcare-grade safety - deployment eval gates, human-oversight and escalation models, auditability and traceability for regulated decisions, and PHI/HIPAA-aware data handling.
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  </li>
 </ul>
 Integration &amp; production craft
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 <ul>
  <li>
   Build integrations with internal and external tools, APIs, enterprise systems, databases, and model providers so agents operate safely within real business workflows.
  </li>
  <li>
   Deliver production-quality code with strong practices in testing, CI/CD, logging, versioning, and documentation; make architecture decisions that balance quality, safety, latency, cost, and model risk.
  </li>
  <li>
   Partner with our modeling and post-training engineers to improve model behavior for tool use, grounding, and long-horizon reasoning - through evaluation-driven feedback and, where it helps, fine-tuned or reasoning-optimized models.
  </li>
  <li>
   Translate ambiguous, high-complexity operational processes into robust system logic and reusable AI patterns; stay current with advances in agentic systems and translate research into practical engineering decisions.
   <br/>
   <br/>
  </li>
 </ul>
 The team
 <br/>
 <br/>
 Deloitte brings together AI researchers, modeling and platform engineers, architects, clinical and domain specialists, and product leaders to build, deploy, and operate verticalized AI systems across software, data, models, and cloud infrastructure - engineered for one of the most complex operating environments in the world. The work spans the healthcare industry - payers, providers, and life sciences - and involves genuinely hard reasoning problems, nuanced operational workflows, and a high bar for reliability, with little tolerance for shallow or unreliable outputs. We pair frontier AI research with production-grade engineering, and we ship into real clinical and operational settings rather than leaving models in the lab.
 <br/>
 <br/>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering, Data Science, Computational Linguistics, or a related field.
  </li>
  <li>
   Demonstrated depth building and shipping production agentic systems - this is your primary craft, not a recent exploration. We weigh shipped systems, research, model releases, and open source over years in a title; expect strong software/ML fundamentals plus substantial, recent hands-on agentic work.
  </li>
  <li>
   Strong, hands-on experience building production agent systems with modern orchestration - LangGraph/LangChain or equivalent, including custom orchestration.
  </li>
  <li>
   Experience designing and optimizing end-to-end RAG systems: indexing, retrieval, reranking, grounding, and evaluation.
  </li>
  <li>
   Strong understanding of memory and context management, including context windows, retrieval-driven context assembly, persistent memory, and high-signal context selection.
  </li>
  <li>
   Deep, practical understanding of LLM behavior - strengths, limitations, hallucination risks, reasoning constraints, and latency/cost trade-offs - and the evaluation methods used to measure them.
  </li>
  <li>
   Experience evaluating and debugging agent behavior - task-success and trajectory analysis, not just output quality.
  </li>
  <li>
   Strong Python engineering skills and modern software practices: testing, CI/CD, version control, and API integration; experience implementing observability, tracing, and debugging for LLM-based systems in production.
  </li>
  <li>
   Hands-on experience with at least one frontier model platform (e.g., Anthropic, Google, OpenAI) and/or open-weight/self-hosted models (e.g., Llama via vLLM), including production tool use and agent capabilities.
  </li>
  <li>
   Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  </li>
  <li>
   Limited immigration sponsorship may be available.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with multi-agent systems and agent collaboration patterns.
  </li>
  <li>
   Familiarity with vector databases and retrieval infrastructure such as Pinecone, Weaviate, or Milvus.
  </li>
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   Exposure to model adaptation and fine-tuning techniques such as LoRA or QLoRA.
  </li>
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   Understanding of traditional NLP concepts: tokenization, semantic similarity, entity extraction, summarization, and transformer fundamentals.
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   Experience operating in highly regulated, high-stakes, or operationally complex environments; healthcare exposure - clinical, payer, or life-sciences workflows, or standards such as FHIR - is a plus, not a requirement.
  </li>
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   Demonstrated habit of staying current with AI research, benchmarks, and emerging engineering patterns.
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  Compensation
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 </strong>
 Base salary is benchmarked to leading technology companies rather than traditional consulting scales, and the role carries a substantial performance-based incentive opportunity designed to grow with the value you help create - startup-style upside, with the backing of a committed, well-capitalized platform. The estimated base salary range is $110,700-$372,900 (not adjusted for geographic differential); actual base pay depends on your skills, experience, and level, and you may also be eligible for a discretionary annual incentive based on individual and organizational performance.
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Agentic AI Engineer — Healthcare AI

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Agentic AI Engineer — Healthcare AI