• Help bring AI into the core of how Rula builds better mental healthcare experiences. • Work closely with product, design, operations, and engineering to ship AI-powered features that solve real problems for patients, providers, and internal teams. • Move between prototyping, building production systems, improving quality, and learning quickly from real-world usage. • Work on meaningful problems, ship fast with care, and have a direct hand in shaping how AI shows up across a growing company.

Position Title: Identity Access Mgmt. Engineer Department: IT Information Security Job Description: The Identity and Access Management (IAM) Engineer II will be responsible for implementing, maintaining, and optimizing IAM solutions. This role requires in-depth technical knowledge of IAM systems, participation in advanced IAM projects, and the ability to work with senior engineers on complex IAM initiatives. The IAM Engineer II will assist in implementation of critical IAM functions such as SSO, MFA and PAM as well as provide guidance to junior engineers. This position actively participates in strategic planning and provides 24x7 on-call support with other members of the IAM staff. Essential Responsibilities Responsibilities listed in this section are core to the position. Inability to perform these responsibilities with or without an accommodation may result in disqualification from the position. - Implement and maintain IAM solutions to manage user lifecycle, access, and entitlements. - Deploy privileged access management solutions - Ensure secure management of privileged accounts and credentials. - Conduct regular reviews and audits of privileged access. - Resolve complex IAM-related tickets in ticketing queues, ensuring timely resolution and adherence to SLAs. - Develop and maintain comprehensive process documentation. - Lead and support IAM-related projects and initiatives from a technical perspective. - Identify and implement opportunities for process improvement and automation within the IAM framework. - Support the building of technology operational models and workflows for the business. - Collaborate with IT teams and business units to ensure proper access controls and integration with other systems. - Actively pursue opportunities to fill knowledge gaps in new technologies, helping the team stay updated with industry trends. - Provide vendor management, service level definition, and management for IAM technologies. - Provide feedback on, or assist in creating, business case proposals, analysis of technologies, and project plans. - Perform contract reviews and ensure risks are mitigated. - Assist in security awareness training related to IAM. - Support strategic contingency planning from an IAM perspective. - Mentor junior engineers and analysts, providing guidance on complex IAM issues. - Participate in regular business meetings and workshops to ensure knowledge transfer. - Provide 24x7 on-call support based on IAM staff rotation. - Adhere to and support OU Health IT standards, policies, and procedures. - Maintain and protect confidentiality regarding all aspects of patient care and employee information. - Adhere to Code of Conduct and Mission & Value Statement. General Responsibilities - Performs other duties as assigned. Minimum Qualifications Education Requirements: Bachelor’s degree required. Experience Requirements: 5 or more years of experience in IAM or a related IT security role required. License/Certification/Registration Requirements: - One or more advanced security or IAM certifications are required or must be obtained within 36 months from the hire date. Desired certifications include CISSP, CyberArk CDE, SailPoint Certified IdentityNow Engineer, and Microsoft SC-300. - Other industry certifications in IAM or IT are highly desirable, including CompTIA Security+, IDPro CIAM, Microsoft Certified. Knowledge/Skills/Abilities Required: - Intermediate to advanced knowledge of IAM technologies, protocols, and best practices, including SSO, MFA, and PAM. - Proven engineering experience with IAM services. - Experience with implementing SSO and MFA technologies within IAM frameworks. - Experience in managing multiple high-risk projects, including those involving external vendors. - Experience in applicable programming languages, and scripting. - Strong technical problem-solving skills with strong attention to detail. - Excellent communication, leadership, and teamwork skills. - Demonstrated ability to lead technical projects and mentor junior team members. - Experience in identifying and leading the implementation of process improvements and automation solutions within IAM. - Knowledge of security regulations and frameworks (HIPAA, HITECH, HITRUST, NIST, ISO, COBIT). - Leadership skills to establish and maintain business relations with technical resources, customers, business partners, vendors, and other IT personnel. Current OU Health Employees - Please click HERE to login. OU Health is an equal opportunity employer. We offer a comprehensive benefits package, including PTO, 401(k), medical and dental plans, and many more. We know that a total benefits and compensation package, designed to meet your specific needs both inside and outside of the work environment, create peace of mind for you and your family.

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. - 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025) - Fivetran, dbt, Atlation, and AWS Partner of the Year - #1 Partner in Snowflake Advanced Certifications - 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) Recognized as an award-winning workplace in the US, India, and LATAM About the Role The Forward Deployed AI Product Engineer (Vector) is a customer-embedded, full-stack engineer who builds AI-native applications and agents that solve high-value business problems on top of the client’s data and AI platform. This role sits at the intersection of product, engineering, and business outcomes: you will live inside a business unit, learn its operations in detail, and rapidly ship working software that proves measurable ROI. You will be deployed directly into strategic customer accounts as the tip of the spear for AI-powered solutions. You will partner closely with business stakeholders, central platform teams, and other phData consultants to: - Identify and shape AI use cases that were previously considered too messy, too manual, or too cross-functional to tackle. - Rapidly prototype full-stack, MVP-grade agents, applications, and workflows that demonstrate value in weeks, not quarters. - Productionize the most impactful solutions, integrating with the client’s AI Data Platform, existing systems, and operational workflows. - Feed technical and architectural patterns back into the client’s platform and operating model to create durable, long-term leverage. You will own the end-to-end lifecycle of AI-native solutions in your business area: discovery, value articulation, design, implementation, iteration, and handoff. You must be equally comfortable whiteboarding with executives about KPIs and ROI, sitting side-by-side with frontline operators to understand real-world constraints, and diving deep into code to ship features quickly. This is a highly hands-on, travel-heavy role designed for engineers who want to be as close as possible to the business problem, not just the technology. You will act as a lead engineer within one or more “fusion pods,” collaborating with data engineers, ML engineers, activation specialists, and client teams to deliver outsized business impact. About You - You are obsessed with business outcomes, not just technology. You think in terms of KPIs, ROI, and time-to-value, and you can sit across from a VP, GM, or CTO to recommend architectures, workflows, and tools that directly tie to their goals. - You are a builder. You’re not looking for a rigid playbook or a fully defined product; you want to help define the solution, build the first versions, and iterate quickly based on real user feedback. - You have strong business curiosity. You naturally dig into how operations actually work, what’s broken, and how AI and software can reshape processes rather than just automate existing ones. - You have empathy to sit with business users, observe how they actually work, and listen carefully to their pain points. You apply design thinking to reimagine their workflows and tools, not just digitize the current process. - You are comfortable working in ambiguity. The problems you tackle are often poorly defined at the start; you help clarify the problem, design the solution, and drive execution. - You have shipped production-grade applications that connect powerful data and AI back ends with intuitive front-end experiences (web apps, internal tools, or operational interfaces). - You are fluent in AI-native development patterns: RAG, LLM orchestration, agentic workflows, and modern AI evaluation and guardrails. You see AI tools as essential infrastructure for modern engineering. - You can rapidly prototype with modern tools (Streamlit, Gradio, lightweight React apps, workflow tools, agents) and are comfortable throwing away code to converge on the right solution. - You are a strong, opinionated communicator. You can explain complex technical concepts in simple language, lead client conversations, and build trust with both executives and hands-on operators. - You are willing and excited to travel frequently and spend significant time on-site with clients to build deep operational empathy and accelerate delivery. - You are energized by turning one-off successes into repeatable patterns: documenting what works, identifying platform gaps, and helping shape the client’s Intelligence Platform roadmap. - You are prepared to step into what is likely to be one of the most demanding roles of your career, and you are motivated by the impact, autonomy, and responsibility that comes with it. Job Requirements - Rapid Prototyping: Design and build full-stack, MVP-grade prototypes for AI-native applications, agents, and workflows that can be validated quickly with end users. - Full-Stack Execution: Deliver end-to-end solutions using a mix of Python, SQL, and TypeScript/JavaScript, including APIs, back-end services, and front-end experiences. - AI Agents and Workflows: Implement AI-powered workflows and agents that solve real business problems, including RAG pipelines, AI agents, workflows, skills, memory, and model-context protocols where appropriate. - User Interfaces: Build high-fidelity, production-ready user interfaces (e.g., Streamlit/Gradio/React or similar) that make AI capabilities usable and intuitive for business users. - Data Transformation/Manipulation: Move, transform, and harmonize disparate data sources into the client’s data platform (e.g., Snowflake, Databricks, cloud data warehouses), exposing clean, reliable data to applications and agents. - Pattern Feeding: Capture and contribute technical patterns, best practices, and anti-patterns back into the client’s platform and phData’s internal playbooks to build long-term leverage. - Platform Advocacy: Bridge the gap between business-unit needs and central platform capabilities. Identify capability gaps (CI/CD, orchestration, observability, streaming ingestion, vector search, AI gateways, etc.) and help prioritize their development. - Pull-Through Identification: Identify new data sources, platform capabilities, and integration opportunities that create demand for additional phData services (data engineering, ML engineering, Analytics, Workforce AI, platform operations). - Use Case Discovery: Lead or support discovery sessions with business stakeholders to surface high-impact AI opportunities, unconstrained by legacy processes or “the way we’ve always done it.” - Value Articulation: Define success metrics in terms of business KPIs and quantify measurable ROI to justify additional services and platform investments. - Operational Empathy: Spend significant time on-site with end users and operational teams to deeply understand workflows, constraints, and edge cases; design solutions that fit real-world usage. - Client-Facing Communication: Engage confidently with executives, managers, and technical teams. Clearly communicate trade-offs, timelines, and risks, and maintain trust while moving quickly. - Technologies (experience with several of the following, and the ability to learn others quickly): - Frontend: Streamlit, Gradio, React, or similar. - Databases and Storage: Postgres, cloud-native warehouses, Vector DBs, Graph DBs. - Workflow and Automation: Cloud orchestration tools, CI/CD pipelines, and AI-native workflow systems; familiarity with tools like Microsoft Copilot or similar is a plus. - Platforms: Snowflake and major cloud providers (AWS, Azure, GCP); experience with modern data and AI platforms and APIs. - Agentic AI Skills: Practical experience with RAG, LLM workflows, agentic frameworks, prompt engineering, and implementing guardrails and evaluations for AI systems. - Curious and Continuous Learner: Demonstrated ability to upskill rapidly on new APIs, data platforms, workforce systems, and emerging AI tooling. - Documentation and Enablement: Contribute to internal and client-facing documentation, run-throughs, demos, and training that help others adopt and extend the solutions you build. - BA/BS in computer science, engineering, mathematics, operations, or related fields preferred. Equivalent practical experience considered. - 4+ years of hands-on software engineering experience (more for Senior/Principal levels), including building and operating production systems. - Prior consulting, customer-embedded engineering, or product engineering experience in data/AI-heavy environments strongly preferred. - Travel up to 50% (client-dependent). Frequent on-site presence with customers is expected for this role. phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

• Data Engineering & Pipelines • Build, optimize, and maintain scalable data pipelines. • Work with Databricks and SQL for big data queries and transformations. • Integrate structured/unstructured datasets into AI workflows. • AI & ML Engineering • Apply libraries like scikit-learn, pandas, NumPy for preprocessing and modeling. • Design, prompt, and evaluate LLM-based workflows. • Leverage frameworks like LangChain and vector databases for retrieval and orchestration. • Automation & Orchestration • Develop solutions using low-code and no-code tools such as LangFlow, LangSmith, Flowise, n8n, etc. • Integrate APIs, connectors, and services into end-to-end pipelines. • Create reusable components for rapid prototyping and deployment. • Collaboration & Delivery • Work cross-functionally with data engineers, analysts, and product teams. • Document workflows, models, and processes for reproducibility. • Ensure solutions are scalable, secure, and aligned with business goals.