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enterprise applications engineer

Presidio Trust

<div>The Presidio Trust is seeking a Enterprise Applications Engineer to join its IT Department. The Presidio Trust is a unique federal agency that stewards and shares the Presidio, one of the most visited national park sites in America and a place where people live and businesses thrive. The Trust manages the Presidio through a triple bottom line focus: being visited and loved by all, being a model of environmental stewardship, and demonstrating excellence in all our operations.
The Enterprise Applications Engineer is a key member of the Data Applications team, responsible for the administration, implementation, integration, lifecycle management, and operational support of a portfolio of more than 160 enterprise and departmental systems that support critical business functions, including procurement, facilities management, analytics, automation, GIS, cloud services, and emerging AI-enabled technologies.
Reporting to the Principal Data Architect, this role serves as the technical lead for assigned applications and integrations, partnering with business stakeholders, vendors, project teams, and IT to deliver secure, scalable technology solutions. This role drives application modernization, system integrations, automation, and continuous improvement initiatives; resolves complex technical issues; and ensures solutions align with business objectives, security, compliance, and data governance standards while enhancing operational efficiency and user experience.
This is a full-time position with benefits. The starting salary range for candidates based in San Francisco Bay Area is $135,090 to $160,319, depending on experience and qualifications. Salary may vary for candidates working from other locations. Applications received by July 17, 2026 will receive first consideration.
Responsibilities
<ul><li>Administer, configure, maintain and support a portfolio of enterprise and departmental applications, serving as the primary technical resource for application health, availability, and performance, operational integrity and lifecycle management activities, including implementation, upgrades, patching, and decommissioning.
</li><li>Lead and execute technical implementations, enhancements and system upgrades for enterprise applications, including but not limited to, Coupa, VFA (Facility Management), SharePoint, ArcGIS, Microsoft 365 (O365), Smartsheet, Asana, Power BI, AZURE and other business critical platforms. Responsibilities include system configuration, testing, integration development, data migration, deployment planning, validation, cutover activities, and post-implementation support.
</li><li>Develop, maintain, and support application integrations and data exchanges across the enterprise technology ecosystem, including API-based integrations, data mapping specifications, data automation workflows, and inter-system data flows to ensure accuracy, consistency, and integrity.
</li><li>Design, implement, and maintain automated workflows and business process automations across enterprise applications to improve operational efficiency, reduce manual effort, and enhance data quality across enterprise systems.
</li><li>Evaluate, implement and support AI-enabled features, integrations and automation capabilities within enterprise applications in alignment with organizational technology objectives.
</li><li>Perform back-end technical support for enterprise applications, including system configuration changes, data corrections, environment management, performance monitoring, user access administration, and resolution of complex application and integration issues across the full application portfolio.
</li><li>Coordinate and execute application patching, upgrades and version management activities in accordance with vendor release schedules and organizational change management practices. Assess patch impacts, maintain release documentation, patch logs, and coordinate testing activities with business functional stakeholders.
</li><li>Conduct technical root cause analysis for application incidents, data anomalies, integration failures and system performance issues; implement and document corrective actions and preventive controls to reduce recurrence.
</li><li>Develop and maintain comprehensive technical documentation for all administered applications, including system configuration workbooks, integration specifications, architecture diagrams, data flow documentation, runbooks, standard operating procedures (SOPs), and change management records.
</li><li>Collaborate with business stakeholders and functional leads to gather, analyze, and translate business requirements into technical solutions, system configurations, integrations, workflows and application enhancements.
</li><li>Support enterprise application-related projects through technical planning, requirement analysis, vendor coordination, testing strategy development, user acceptance testing (UAT) facilitation, deployment activities, and project closeout documentation.
</li><li>Actively contribute to and support enterprise data governance initiatives, including data standards development, data quality monitoring, metadata management, data mapping, and data lineage documentation and adherence to established data standards.
</li><li>Manage vendor relationships for assigned applications, including support coordination, issue escalation, license management, contract compliance tracking, and evaluation of product enhancements and roadmap opportunities in alignment with organizational technology strategy.
</li><li>Develop and maintain process documentation, workflow guides, and technical procedures for application-related business processes; identify opportunities for automation, standardization, and continuous improvement across supported platforms.
</li><li>Ensure application configurations, integrations and access controls comply with organizational security, compliance, audit and data governance requirements including access controls, role-based permissions (RBAC), audit logging, and information lifecycle management standards.
</li><li>Provide technical guidance and subject matter expertise to project teams, stakeholders, and IT staff regarding enterprise application capabilities, integration approaches, and technology best practices.</li>
<li>Research emerging technologies, cloud services, automation platforms, and AI-enabled tools; evaluate applicability and provide recommendations for improving business processes, user experience, and operational effectiveness.</li>
<li>Perform other duties as assigned.</li>
</ul>
Required Qualifications
<ul><li>Bachelor&rsquo;s degree in Information Systems, Computer Science, Business Administration, or related field; equivalent combination of education and progressively responsible professional experience will be considered.
</li><li>8 years of progressively responsible experience in enterprise applications administration, systems integration and implementation, and technical support across multi-platform environments.
</li><li>Demonstrated experience administering and configuring enterprise applications such as procurement systems (e.g., Coupa), Microsoft 365 (O365), facility management platforms (e.g. VFA or similar), SharePoint, collaboration and work management tools (e.g., Smartsheet, Asana), cloud platforms (AZURE/AWS), or comparable enterprise software ecosystems.
</li><li>Hands-on experience designing and supporting system integrations, API-based integrations (REST/SOAP), data mapping, and automated data workflows across enterprise applications.</li>
<li>Experience planning and executing application upgrades, patch deployments, and version migrations; including coordination of testing, validation and change management processes and release management practices.
</li><li>Proficiency in SQL or similar querying tools for data extraction, validation, troubleshooting, and reporting across application and integration environments.
</li><li>Experience developing and maintaining technical documentation, including configuration documents, system architecture diagrams, configuration workbooks, integration specifications, and SOPs.
</li><li>Strong understanding of data governance principles including data quality, metadata management, data lineage, data mapping and data stewardship practices.
</li><li>Ability to manage multiple concurrent projects and application support responsibilities with strong attention to detail, organizational skills, and follow-through.
</li><li>Strong communication and stakeholder engagement skills with demonstrated ability to translate business needs into technical requirements and explain technical concepts to non-technical audiences.
</li><li>Experience with application security administration including user access management, role-based access controls (RBAC), and audit logging or compliance review activities.
</li><li>Familiarity with IT service management (ITSM) frameworks, including incident, problem, change, cause, and request management processes.
</li></ul>Desired Qualifications
<ul><li>Experience in federal government, public sector, or nonprofit environments with familiarity in compliance, security expectations, and regulatory frameworks (e.g., FISMA, NIST, FedRAMP).
</li><li>Experience with Coupa procurement platform administration, configuration, or integration with ERP and financial systems.
</li><li>Experience with cloud platforms including AWS, AZURE and GCP.
</li><li>Familiarity with ETL tools, iPaaS platforms (e.g., MuleSoft, Boomi, Azure Data Factory, Fabric Data Factory), or scripting languages (Python, PowerShell) for data automation.
</li><li>Experience administering Smartsheet at an enterprise level, including workspace governance, automation rules, and cross-sheet integrations.
</li><li>Experience with Asana platform administration, project template configuration, and integration with enterprise systems.
</li><li>Experience with Power BI report development, dataset management, and integration with enterprise data sources.
</li><li>Familiarity with AI tools, platforms, or APIs (e.g., Microsoft Copilot, OpenAI/ChatGPT Enterprise, or similar) and experience supporting AI implementation projects within an enterprise application environment.
</li><li>ITIL v4 Foundation certification or equivalent IT service management training.
</li><li>Experience participating in or supporting enterprise data governance programs, data governance councils, or data stewardship initiatives.
</li><li>A passion for the mission and values of the Presidio Trust.</li>
</ul>
Background Check
 
This position is subject to an employment background check which shall consist of a review of applicable county, state and Federal criminal and civil records, state bankruptcy indexes, driver&rsquo;s license, education, and employment history. An individual&rsquo;s granting of a background check and resulting report is voluntary. However, employment is contingent upon the successful completion of an employment background check. The Presidio Trust may refuse to hire an individual, may rescind an offer of employment to an individual, or may review and terminate the employment of a current employee not successfully completing the background check.
The Presidio Trust is an equal opportunity employer, offering a competitive benefits package. To learn more, visit www.presidio.gov/about/presidio-trust/careers.</div>

Enterprise Applications Engineer

Workato

<div><div><h1 class="jobSectionHeader">About Workato</h1>

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato&rsquo;s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
<h1 class="jobSectionHeader">
Why join us?</h1>

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That&rsquo;s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:
<ul>
<li>Business Insider named us an &ldquo;enterprise startup to bet your career on&rdquo;
</li>
<li>Forbes&rsquo; Cloud 100 recognized us as one of the top 100 private cloud companies in the world
</li>
<li>Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
</li>
<li>Quartz ranked us the #1 best company for remote workers
</li>
</ul></div><div><h2 class="jobSectionHeader">Senior AI Engineer &ndash; Developer Products</h2>

Location: San Francisco, CA (Onsite/Hybrid)
<h3 class="jobSectionHeader">
About the Role</h3>

We are seeking an exceptional Senior Software Engineer to join our San Francisco team and build new developer products. In this role, you will design, build, and optimize AI-first experiences that empower developers to experiment, prototype, and integrate with our platform. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience.
<h3 class="jobSectionHeader">
Responsibilities</h3>
<ul><li>Design, build, and enhance AI services and APIs powering our developer sandbox, leveraging LLMs and custom ML models.</li>
<li>Develop well-architected, testable, and efficient Python code to support rapid prototyping and experimentation.</li>
<li>Implement and improve validation, monitoring, and observability for ML services within the sandbox environment.</li>
<li>Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement.</li>
<li>Collaborate with cross-functional teams to design developer-centric solutions and intuitive user experiences.</li>
<li>Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability.</li>
<li>Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment.</li>
<li>Conduct code reviews and mentor team members to uphold high engineering standards.</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<h4 class="jobSectionHeader">Qualifications / Experience / Technical Skills</h4>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.</li>
<li>5+ years of experience as an ML Engineer, Data Scientist, or similar role.</li>
<li>Strong Python programming skills and hands-on experience with NLP and LLM models.</li>
<li>Proven track record of deploying and maintaining ML services in production environments.</li>
<li>Solid understanding of network protocols, API design, and developer tooling.</li>
<li>Experience with relational and non-relational databases.</li>
<li>LLMops/MLops experience is a strong plus, especially in developer-facing products.</li>
<li>Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable.</li>
</ul><h4 class="jobSectionHeader">Soft Skills / Personal Characteristics</h4>
<ul><li>Collaborative team player with a passion for empowering developers and improving developer experience.</li>
<li>Adaptable, proactive, and creative&mdash;comfortable working in a dynamic, startup-like environment.</li>
<li>Strong problem-solving skills and a continuous improvement mindset.</li>
</ul>
Join us in San Francisco and help shape the future of developer innovation with AI-powered sandbox experiences! 
 
The salary range for this role is dependent on experience and ranges from $170,000 to $250,000. We also provide stock options to all employees and generous benefits.</div></div>

Senior AI Engineer – Developer Products

Cognizant

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
 By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
 <ul>
<li>Please note, this role is not able to offer visa transfer or sponsorship now or in the future*</li>
</ul>
Job Summary
 We are seeking an AI Architect to lead the design, development, and delivery of enterprise-scale Generative AI and agentic AI solutions on Google Cloud Platform. This role focuses on defining end-to-end AI/ML architecture strategy, building scalable LLM and multi-agent systems, and driving innovation using Vertex AI. You will play a key role in enabling intelligent automation through advanced AI frameworks while ensuring production readiness, governance, and business alignment. The position requires strong technical leadership, deep hands-on expertise, and client-facing consulting experience.
 
In this role, you will: 
<ul>
<li>Define and lead enterprise AI architecture strategy for Generative AI and agentic AI solutions on GCP.</li>
<li>Architect and implement LLM-based applications using Vertex AI services including Model Garden, Gemini API, and custom training pipelines.</li>
<li>Design and develop multi-agent AI systems using Google ADK or equivalent frameworks (LangGraph, CrewAI, AutoGen).</li>
<li>Build scalable Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Search, Vector Search, and BigQuery.</li>
<li>Develop and manage LLMOps pipelines covering model versioning, evaluation, fine-tuning (SFT/RLHF/PEFT), and deployment using Vertex AI Pipelines.</li>
<li>Leverage GCP-native services (Cloud Run, GKE, Dataflow, Pub/Sub, Apigee) to design and implement AI-first platforms.</li>
<li>Provide technical leadership, mentor teams, and conduct architecture reviews ensuring governance and responsible AI practices.</li>
<li>Define reusable design patterns, best practices, and reference architectures for LLM and agentic AI solutions.</li>
<li>Collaborate with clients and stakeholders to define AI strategy, lead PoCs, solution demos, and RFP/RFI responses.</li>
<li>Drive innovation adoption by evaluating emerging AI tools, models, frameworks, and enterprise AI capabilities.</li>
</ul>
What you need to have to be considered
 <ul>
<li>15+ years of experience in AI/ML, cloud architecture, or enterprise digital transformation roles.</li>
<li>Strong hands-on expertise in Google Cloud Platform including Vertex AI, BigQuery, Dataflow, GKE, Cloud Run, Pub/Sub, and IAM.</li>
<li>Proven experience designing and delivering production-grade Generative AI and LLM-based applications.</li>
<li>Deep knowledge of RAG architectures, embeddings, vector databases, prompt engineering, and model evaluation strategies.</li>
<li>Experience building agentic AI systems using ADK or frameworks like LangGraph, CrewAI, or AutoGen.</li>
<li>Strong programming skills in Python with experience in MLOps tools (Vertex AI Pipelines, MLflow, Kubeflow).</li>
<li>Solid understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.</li>
<li>Strong leadership, stakeholder engagement, and consulting experience working with enterprise clients.</li>
<li>GCP certifications (Professional Architect / ML Engineer) and experience in regulated industries are a plus.</li>
</ul>
#LI-EF1
 #CB
 #Ind123
 Applications will be accepted until 10 Jul 2026.
 
Salary and Other Compensation: 
The annual salary for this position is between $[174,500 - 204,500] depending on experience and other qualifications of the successful candidate.
 This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
 Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
 <ul>
<li>Medical/Dental/Vision/Life Insurance</li>
<li>Paid holidays plus Paid Time Off</li>
<li>401(k) plan and contributions</li>
<li>Long-term/Short-term Disability</li>
<li>Paid Parental Leave</li>
<li>Employee Stock Purchase Plan</li>
</ul>

Sr. AI Architect

Wells Fargo

<div>About this role:
Wells Fargo is seeking a Principal Engineer to join our AI Platforms and Enterprise Execution Group as part of Consumer Technology. Learn more about the career areas and business divisions at wellsfargojobs.com.
This role focuses on designing and delivering enterprise‑scale strategic initiatives in reusable AI patterns that deliver business and customer value.
This is a hands‑on Principal Engineer role for a technical leader who designs, builds, and scales AI‑driven platforms, while operating at enterprise scope. The Principal Engineer serves as a technical authority who codes, prototypes, and reviews architecture, not just oversees execution 
In this role, you will:<ul><li>
Act as a trusted advisor to leadership, guiding the development and influence of applications, networks, information security, databases, operating systems, web technologies, and emerging AI capabilities to address highly complex business and technical needs across multiple groups</li><li>
Lead the strategy and resolution of highly complex, unique challenges through end‑to‑end solution design, including Generative and Agentic AI systems, cloud‑native platforms, and legacy modernization efforts that require long‑term vision, creativity, innovation, and advanced analytical thinking</li><li>
Translate advanced technology expertise, deep understanding of enterprise business objectives, organizational structure, and the broader technology ecosystem into scalable engineering solutions, such as reusable architectures, AI-enabled platforms, and production‑ready systems</li><li>
Provide vision, direction, and technical leadership to senior leaders on implementing innovative business solutions, embedding AI and automation into product delivery workflows, decision support, and developer productivity while ensuring alignment with security, compliance, and responsible AI standards</li><li>
Maintain deep awareness of industry best practices, emerging technologies, and AI advancements, proactively recommending innovations that modernize operations, improve efficiency and quality, and create competitive advantage for the organization</li><li>
Strategically engage with professionals and managers at all levels of the enterprise, serving as an expert technical advisor and escalation point for complex platform, data, and AI decisions while mobilizing and guiding large‑scale, cross‑organizational initiatives and communicating progress to executive leadership</li></ul> 
Required Qualifications:<ul><li>
7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
7+ years of senior engineering experience, including architecture and hands‑on delivery of large‑scale platforms and systems</li><li>
4+ years of experience developing or deploying AI‑powered tools, chatbots, LLM‑based automation, or agentic workflows, including understanding of AI risks, observability needs, and stakeholder communication</li><li>
3+ years of hands‑on experience across Cloud architectures including Google Cloud Platform, Microsoft Azure, AWS, etc. and internal platforms such as Tachyon</li><li>
3+ years of experience operating at both keyboard‑level technical depth and executive‑level technical storytelling</li></ul>
Desired Qualifications:<ul><li>
Experience working within agile product operating models in large enterprise environments, including agile software delivery and cloud infrastructure</li><li>
Financial services experience preferred; Business Banking domain experience is beneficial but not required</li><li>
Demonstrated ability to mentor senior and staff engineers, raising the technical bar of the organization</li><li>
Proven strategic thinking, analytical problem‑solving, and sound technical judgment in fast‑paced settings</li><li>
Proven experience with cloud infrastructure and containerization, including enterprise compute, storage, and IaaS environments</li><li>
Demonstrated curiosity and innovation mindset for advancing Generative and Agentic AI solutions within regulated enterprise contexts</li><li>
Strong organizational savvy and customer centricity, with the ability to navigate complex enterprise structures and align technology to business outcomes</li></ul> 
Job Expectations:<ul><li>
Ability to travel as needed
</li><li>This position offers a hybrid work schedule</li><li>
This position is not eligible for Visa sponsorship</li></ul>
Job Location:
333 Market St - San Francisco, California 94105
300 S. Brevard - Charlotte, North Carolina 28202
2600 S Price Rd - Chandler, Arizona 85286
Pay Range 
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$159,000.00 - $305,000.00<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.<ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
Posting End Date:
12 Jul 2026<ul><li>Job posting may come down early due to volume of applicants.</li></ul>
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Principal AI Engineer

Heygen

<div><div><h2 class="jobSectionHeader">About HeyGen</h2>

At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. 
Learn more at www.heygen.com. .</div><div>
Position Summary

As a Security Engineer at HeyGen, you will own the security posture of one of the fastest-growing AI companies in the world. You will partner directly with engineering teams to ship secure features, harden our cloud infrastructure, and build the compliance and trust programs that unlock enterprise deals. This is a high-impact, high-autonomy role for an engineer who thinks in threat models and ships code.

Key Responsibilities
<ul>
<li>Product &amp; Infrastructure Security: Partner with engineering teams as an embedded security expert &mdash; writing code, reviewing architectures, and building secure application features and infrastructure components from the ground up.</li>
<li>Fraud Detection &amp; Remediation: Design and implement automated fraud detection systems to mitigate platform abuse, credential stuffing, and payment fraud. Partner with product and engineering to build real-time monitoring and rapid-response remediation workflows.</li>
<li>Cloud &amp; Vulnerability Management: Own the strategy and execution for hardening our AWS/Python infrastructure. Build and run a robust vulnerability management program, including network security, cloud configuration, and remediation workflows.</li>
<li>AI Security: Serve as HeyGen's point person for AI and agentic system security. As we scale our agentic coding and AI agent products, you will ensure these rollouts are designed and deployed with strong security controls.</li>
<li>GRC &amp; Compliance: Oversee our SOC 2 compliance operations (currently managed via Drata) and annual audit cycles. Evaluate and roadmap future certifications, including ISO 27001, as the business scales.</li>
<li>Trust &amp; Safety Oversight: Provide high-level oversight for platform abuse and content moderation (in partnership with growth and avatar teams), and serve as the escalation point for IT security incidents.</li>
</ul>
Qualifications
<ul>
<li>Strong software engineering background with hands-on Python and AWS experience; you write code, not just policies.</li>
<li>Demonstrated experience securing cloud infrastructure and applications &mdash; vulnerability management, network security, IAM, and secrets management.</li>
<li>Familiarity with GRC frameworks and compliance programs (SOC 2, ISO 27001, or equivalent).</li>
<li>Excellent communication skills: able to translate threat models for engineers, compliance requirements for auditors, and security architecture for enterprise CISOs.</li>
<li>Comfortable with ambiguity and rapid scale; you prioritize ruthlessly and know when to build vs. buy.</li>
<li>Experience with modern security tooling is a plus (Drata, Infisical, Bugcrowd, or equivalents).</li>
</ul>
Why HeyGen:
<ul>
<li>Massive Scale, Unique Problems: We are protecting user identity at one of the fastest growth rates in SaaS history. The security engineering challenges here are genuinely novel.</li>
<li>Speed with Guardrails: Our security philosophy is not about saying &quot;no.&quot; It is about building guardrails that let the engineering team ship fast without introducing unacceptable risk.</li>
<li>Mature Tooling from Day One: We already run Drata for GRC, Infisical for secrets management, and a private bug bounty program via Bugcrowd. You are not starting from zero.</li>
<li>Autonomy and Ownership: You will have the visibility and resources to shape HeyGen's entire security roadmap. Small team, big mandate.</li></ul></div></div>

Security Engineer

Ontrac Solutions

<div><h1 class="jobSectionHeader">Overview</h1>
We are seeking a Principal GenAI Architect / Forward Deployed Principal Engineer to lead the design, delivery, and productionization of enterprise-grade Generative AI solutions within a highly regulated banking environment. This role will partner directly with business, product, engineering, architecture, risk, cyber, legal, compliance, and model governance teams to translate high-impact financial services use cases into scalable, secure, and compliant AI systems.
The ideal candidate has deep experience designing and delivering production-scale GenAI solutions across enterprise environments, with strong exposure to banking, financial services, risk management, customer operations, regulatory controls, and data protection requirements. This person will serve as a recognized GenAI expert across the organization, helping define reusable patterns, influence platform roadmaps, and raise the technical bar for responsible AI adoption across lines of business.
<h2 class="jobSectionHeader">Key Responsibilities</h2>
<h3 class="jobSectionHeader">GenAI Architecture &amp; Production Readiness</h3>
Own and define enterprise-grade GenAI architectures for banking and financial services use cases, including RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing strategies.
Drive production readiness for GenAI solutions, ensuring scalability, resiliency, observability, latency optimization, security, and cost efficiency.
Lead complex architectural decisions across data ingestion, vector databases, model selection, guardrails, API scalability, performance optimization, and secure integration with banking systems.
Establish reference architectures, reusable patterns, and best practices to accelerate responsible GenAI adoption across lines of business.
Partner with central AI platform teams to align solution architecture with enterprise AI services, platform capabilities, banking technology standards, and long-term roadmap priorities.
<h3 class="jobSectionHeader">Banking Use-Case Delivery</h3>
Act as a Forward Deployed Principal Engineer, partnering directly with business, product, and engineering teams to deliver high-impact GenAI use cases from ideation through production.
Translate banking and financial services business problems into clear AI system designs, technical requirements, and non-functional requirements with measurable outcomes.
Support GenAI use cases across areas such as customer service, operations, knowledge management, risk, compliance, fraud, employee productivity, document intelligence, and internal workflow automation.
Troubleshoot and resolve complex issues across non-production and production environments.
Partner closely with application teams to ensure AI solutions integrate effectively into existing banking platforms, enterprise workflows, data environments, APIs, and control frameworks.
Influence platform roadmap by feeding real-world banking use-case requirements back into central AI services and enterprise AI platform teams.
<h3 class="jobSectionHeader">Governance, Risk &amp; Compliance</h3>
Ensure all AI solutions align with banking risk, cyber, model governance, data protection, privacy, and regulatory expectations.
Partner with Cyber, Model Risk Management, Legal, Compliance, Risk, and Data Governance teams to design compliant AI patterns without slowing delivery.
Embed security, privacy, responsible AI, ethical AI, explainability, human oversight, and auditability into solution design by default.
Help define practical implementation patterns that balance innovation, speed, governance, regulatory expectations, and enterprise control requirements.
Ensure GenAI solutions are designed with appropriate guardrails for sensitive financial data, customer information, personally identifiable information, and regulated business processes.
<h3 class="jobSectionHeader">Organizational Influence &amp; Mentorship</h3>
Serve as a recognized GenAI expert across the enterprise, regularly consulted by engineering, architecture, product, risk, compliance, and leadership teams.
Mentor senior and staff-level engineers and help raise the technical bar across banking technology teams.
Contribute to internal communities of practice, architecture reviews, executive-level technical discussions, AI governance forums, and knowledge-sharing sessions.
Represent enterprise GenAI capabilities in internal innovation forums, banking technology discussions, and responsible AI showcases.
<h2 class="jobSectionHeader">Required Qualifications</h2>
7+ years of software engineering experience, with significant depth in AI/ML, data-intensive systems, distributed systems, or enterprise-scale platforms.
2+ years of hands-on Python programming experience.
2+ years of experience designing and delivering production-scale Generative AI systems in an enterprise environment.
2+ years of experience with LLMs, prompt engineering, and RAG architecture.
2+ years of experience with vector databases, semantic search, and retrieval systems.
2+ years of experience with API-driven, cloud-native architectures.
2+ years of experience with distributed systems, performance optimization, scalability, and reliability engineering.
Experience working within banking, financial services, fintech, or another highly regulated enterprise environment.
<h2 class="jobSectionHeader">Preferred Qualifications</h2>
Strong understanding of banking technology environments and non-functional requirements, including security, scalability, resiliency, observability, latency, auditability, and cost management.
Demonstrated Principal-level impact, with influence across multiple teams, platforms, business units, or lines of business.
Experience operating in highly regulated environments, with financial services or banking experience strongly preferred.
Hands-on experience with agentic AI frameworks, AI workflow orchestration, and multi-model routing.
Prior experience in a Forward Deployed Engineer, embedded engineering, or business-facing technical delivery model.
Experience partnering with risk, cyber, legal, compliance, data governance, or model governance teams to deliver production AI solutions.
Familiarity with banking controls, customer data protection, model risk management, audit requirements, regulatory expectations, and responsible AI principles.
Ability to communicate complex technical concepts clearly to senior executives, technical stakeholders, risk partners, compliance teams, and non-technical business leaders.
<h2 class="jobSectionHeader">Ideal Candidate Profile</h2>
The ideal candidate is a hands-on Principal-level engineer and architect who can move seamlessly between strategy, architecture, and execution in a banking environment. They are comfortable working directly with business teams to understand real-world financial services problems, while also going deep with engineering teams on system design, performance, security, governance, and production readiness.
This person brings strong technical judgment, enterprise banking delivery experience, and the ability to build practical, compliant GenAI solutions that can scale responsibly across a large financial institution.</div>

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The Experience
 
Salesforce is building the next-generation Enterprise Knowledge Graph platform to power AI-driven experiences, agentic applications, semantic search, enterprise data discovery, and intelligent decision-making across the company. The platform serves as the foundational knowledge layer connecting enterprise data, business entities, ontologies, and relationships across multiple domains.
 
 
We are seeking both a Senior Member of Technical Staff (SMTS) and a Lead Member of Technical Staff (LMTS) to join our Enterprise Knowledge Graph and AI Engineering team.
 
 
The SMTS will serve as a senior engineer and core systems developer &mdash; heavily hands-on, developing, optimizing, and scaling core knowledge graph components, semantic pipeline workflows, and AI-powered frameworks. You will partner with Lead and Principal Engineers to implement technical designs and build production-ready scalable systems that support agentic AI use cases across the enterprise.
 
 
The LMTS will serve as a hands-on technical lead, systems designer, and ontology engineer &mdash; designing, building, and scaling core knowledge graph infrastructure, semantic schemas, and AI-powered developer frameworks. You will partner closely with Principal Engineers, Product Management, Ontology experts, and Data Engineering teams to turn high-level engineering visions into production-ready scalable foundations.
 
 
Both roles will actively implement and drive AI-powered engineering tools and developer platforms that improve engineering productivity, software quality, and delivery velocity across the organization. 
 
What You'll Actually Be Doing
<ul><li>Design &amp; Implement: Build and scale Salesforce's Enterprise Knowledge Graph platform components, focusing on performance, data throughput, system reliability, high availability, and robust data integrity. (LMTS: Lead hands-on design and implementation of platform subsystems; SMTS: Write high-quality, production-grade code.)
</li><li>Graph &amp; Ontology Engineering: Develop graph data models, write complex graph queries, and construct scalable data pipelines to ingest and map structured and unstructured data to enterprise ontologies and taxonomies. (LMTS: Also design enterprise ontologies, taxonomies, semantic layers, entity resolution frameworks, graph APIs, and vector search capabilities to support advanced RAG and agentic workflows.)
</li><li>Semantic Routing: Write and maintain Python-based semantic routing frameworks to parse, classify, and dynamically direct incoming queries to the appropriate knowledge graph indexes or vector databases. (LMTS: Design, optimize, and productionize routing frameworks at enterprise scale, steering queries to appropriate knowledge graphs, ontology sub-graphs, or vector databases.)
</li><li>AI Tooling &amp; Automation: Build, integrate, and leverage AI-powered developer tools and engineering automation platforms utilizing ecosystems such as Claude, Cursor, Windsurf, AI Agents, and Model Context Protocol (MCP) frameworks. (LMTS: Also develop, deploy, and optimize these tools; drive strategy and productionization.)
</li><li>Data Integration: Build scalable data pipelines and engineering patterns to ingest, transform, and orchestrate structured, unstructured, and third-party data sources into graph-based platforms mapped tightly to enterprise ontologies.
</li><li>Feature Ownership &amp; Technical Execution: Own the technical execution of specific platform features from concept through design, coding, testing, and production deployment. (LMTS: Also translate high-level technical visions and roadmaps into concrete system blueprints, ontology schemas, and execution plans.)
</li><li>Code Quality &amp; Rigor: Participate heavily in code reviews, write comprehensive automated unit/integration tests, and ensure adherence to engineering standards and operational best practices.
</li><li>Technical Mentorship: Provide technical guidance and mentorship to engineers on the team. (SMTS: Mentor MTS and Associate engineers. LMTS: Provide day-to-day guidance, code reviews, and design direction to SMTS, MTS, and associate engineers, fostering a culture of technical rigor and operational maturity.)
</li><li>Cross-Functional Collaboration: Work closely with Lead/Principal Engineers, Product Managers, and Data Engineering teams to deliver robust features aligned with broader enterprise AI priorities. (LMTS: Also partner with PMTS engineers and Ontology governance boards to ensure alignment with AI infrastructure standards.)
</li><li>Evaluate &amp; Innovate (LMTS): Conduct deep-dive evaluations of emerging graph technologies, ontology modeling tools, semantic reasoning frameworks, vector databases, and AI tooling to continuously modernize the platform.
</li></ul>You're Our Person If...
SMTS
<ul><li>Experience: 8+ years of hands-on software engineering experience in development, data engineering, distributed systems, or enterprise data platforms.
</li><li>Education: A related technical degree required.
</li><li>Core Programming: Expert-level coding skills in backend ecosystems, with strong fluency in Python and standard object-oriented/functional programming languages.
</li><li>Semantic Routing &amp; AI: Hands-on experience developing and deploying custom semantic routers using Python (leveraging native embeddings, LangChain, or mathematical logic like cosine similarity) alongside RAG architectures, vector search platforms, and AI workflows.
</li><li>Graph &amp; Ontology Fundamentals: Solid experience working with graph databases and semantic web concepts (e.g., Neo4j, RDF/OWL, SPARQL, property graphs) and mapping data to structured taxonomies.
</li><li>Developer Tooling: Practical experience configuring, testing, or integrating AI-assisted engineering tools or automation workflows (e.g., Claude, Cursor, Windsurf, GitHub Copilot, or MCP frameworks).
</li><li>Distributed Systems &amp; Cloud: Proven experience building applications on cloud-native systems (AWS, GCP, or Azure) utilizing microservices, REST/gRPC APIs, and event-driven data streaming (e.g., Kafka).
</li><li>Delivery: Track record of owning and successfully delivering complex features in an agile, production-scale environment.
</li></ul>LMTS
<ul><li>Experience: 10+ years of hands-on experience in software engineering, data engineering, distributed systems, or enterprise data platforms.
</li><li>Education: A related technical degree required.
</li><li>Ontology &amp; Graph Expertise: Solid, hands-on experience designing and building Knowledge Graph platforms, formal ontologies, semantic models, taxonomies, or enterprise metadata management systems.
</li><li>Tooling &amp; Ecosystems: Strong hands-on experience with graph technologies and ontology engineering tools (e.g., Neo4j, TopQuadrant, Prot&eacute;g&eacute;, RDF/OWL, SPARQL, SHACL, property graphs) and semantic reasoning frameworks.
</li><li>AI &amp; Retrieval: Proven experience implementing graph-powered AI solutions, vector search platforms, Retrieval-Augmented Generation (RAG) architectures, and orchestrating agentic workflows.
</li><li>Semantic Routing Mastery: Demonstrated hands-on experience designing, optimizing, and productionizing custom semantic routers using Python (leveraging native embeddings, LangChain, semantic-router, or specialized mathematical logic like cosine similarity) to decouple intent handling from expensive LLM calls.
</li><li>Developer Automation: Experience deploying and integrating AI-assisted engineering tools or automation workflows using ecosystems like Claude, Cursor, Windsurf, GitHub Copilot, or MCP frameworks.
</li><li>Backend &amp; Cloud: Strong experience with cloud-native system designs (AWS, GCP, or Azure), distributed systems, microservices, and high-throughput event-driven systems.
</li><li>Leadership: Demonstrated experience leading feature teams, guiding technical execution, and mentoring mid-to-senior level engineers.
</li></ul>Even Better If...
SMTS
<ul><li>Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
</li><li>Familiarity with ontology validation frameworks (e.g., SHACL) and data quality governance.
</li><li>Experience building integrations with data platform environments like Salesforce Data Cloud or enterprise CRM metadata architectures.
</li><li>Experience optimizing low-latency applications and heavy-throughput vector search lookups.
</li><li>Passion for engineering automation and driving personal/team velocity via advanced AI development tools.
</li></ul>LMTS
<ul><li>Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field with a focus on Semantic Web or Knowledge Representation.
</li><li>Direct experience integrating platforms with Salesforce Data Cloud, CRM platforms, or metadata-driven system designs.
</li><li>Experience with semantic routing at enterprise scale, high-throughput enterprise search systems, and graph-powered recommendation engines.
</li><li>Deep familiarity with advanced ontology governance, federated knowledge management, and data contract alignment.
</li><li>Proven track record of optimizing engineering team velocity through the tailored implementation of AI developer tooling.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $148,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $285,800 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Data Engineer (SMTS/LMTS) - Knowledge Graph & AI

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Data Engineer (SMTS/LMTS) - Knowledge Graph & AI