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Title: IT Infrastructure Administrator III / Microsoft 365 Administrator

Location: Columbus, OH

Duration: 04 months

ONLY USC

Position Overview

Client is seeking a skilled and security-focused Microsoft 365 Administrator to join our Corporate Information Technology team. This role is responsible for the administration, optimization, and security of our Microsoft 365 environment within a hybrid and multi-tenant enterprise infrastructure.

The ideal candidate combines strong hands-on technical expertise with a proactive, service-oriented mindset. This individual will manage Microsoft 365 services, support secure identity and access management, partner closely with Security teams, and serve as a Tier 3 escalation point for complex collaboration and messaging issues.

Key Responsibilities

Microsoft 365 Administration & Operations

Administer and maintain Microsoft 365 services including:

Exchange Online

SharePoint Online

OneDrive for Business

Microsoft Teams

Microsoft Entra ID

Purview

CoPilot Studio

Power Platform

Manage hybrid identity and mail flow integrations (Azure AD Connect, hybrid Exchange).

Oversee licensing, mailbox management, distribution groups, dynamic groups, and shared resources.

Monitor tenant health, service health, and usage reporting to ensure availability and performance.

Provide Tier 3 escalation support for complex messaging, collaboration, authentication, and synchronization issues.

Identity, Security & Compliance

Manage and maintain:

Conditional Access policies

Multi-Factor Authentication (MFA) policies

Identity Protection and access governance

Role-Based Access Control (RBAC)

Partner with Security Governance and SOC teams to remediate vulnerabilities and support enterprise application reviews.

Support Microsoft 365 security and compliance capabilities including:

Microsoft Purview

Data Loss Prevention (DLP)

eDiscovery

Retention and sensitivity labelling

Microsoft Defender for Office 365

Ensure configurations align with regulatory, contractual, and enterprise security requirements.

Automation & Continuous Improvement

Develop and maintain PowerShell scripts for automation, reporting, and bulk administration.

Leverage Microsoft Graph and provided APIs.

Identify and implement process improvements to increase reliability, efficiency, and security.

Evaluate and communicate new Microsoft features and roadmap items for enterprise applicability.

Collaboration & Governance

Partner with Infrastructure, Cloud Engineering, Service Desk, Desktop Management, and Security teams to improve reliability and end-user experience.

Support cloud migration and modernization initiatives.

Contribute to governance models for Teams, SharePoint, and collaboration services.

Develop and maintain documentation, knowledge articles, and change records.

Required Qualifications

Excellent written documentation and communication skills.

Bachelor’s degree in computer science, Information Systems, or related field (or equivalent experience).

5+ years of hands-on experience administering Microsoft 365 in a medium-to-large enterprise environment.

Strong expertise in:

Exchange Online

Microsoft Teams

SharePoint Online

OneDrive

Microsoft Entra ID

Experience managing hybrid identity and directory synchronization (Azure AD Connect).

Strong understanding of:

Conditional Access

MFA

Identity governance

SMTP mail flow

SPF, DKIM, and DMARC

Proficiency with PowerShell scripting for automation and administration.

Experience troubleshooting authentication, SSO, and synchronization issues.

Must be a US Citizen.

What We’re Looking For

A proactive engineer who anticipates issues and strengthens security posture.

A collaborator who works effectively across IT and security teams.

A technically curious professional who stays current with Microsoft innovation.

A service-minded professional who improves the employee experience while protecting the enterprise.

About Us

We're continuing to build a transformative healthcare accreditation platform that is revolutionizing how our clients and new hospitals manage compliance, quality improvement, and regulatory processes. Our platform combines cutting-edge technology with deep healthcare domain expertise to solve real problems for healthcare organizations nationwide.

The Opportunity

The goal is to have interns turn into full time employees; Therefore, you will be given full time responsibilities day one. To add onto that, you will be working in a high velocity growth startup and will be required to move fast. You'll work directly with our engineering team on a production healthcare platform, gaining hands-on experience with enterprise-grade systems while making real contributions that impact our product and customers.

Compensation Structure: Base position is unpaid, however qualified candidates may receive upfront equity compensation based on their experience level and demonstrated capabilities. We evaluate each applicant individually and offer equity packages commensurate with their potential contribution.

What You'll Do

*During the internship you may choose the area to focus on...

Application Testing & Quality Assurance

• Design and execute comprehensive test plans for our healthcare portal
• Perform manual testing across web applications, APIs, and integrations
• Identify and document bugs, usability issues, and edge cases
• Test healthcare compliance features (HIPAA, document security, audit trails)

Test Automation Development

• Build automated test suites using modern testing frameworks
• Develop API testing scripts for healthcare data integrations
• Create performance testing scenarios for document upload/processing
• Implement continuous testing pipelines with CI/CD integration

AI/ML Quality Support

• Collaborate with our AI team on document processing accuracy testing
• Help validate machine learning models for healthcare document extraction
• Design test datasets for training and validation of AI systems
• Analyze and report on AI/ML model performance and data quality

Data Engineering Quality Assurance

• Develop data quality monitoring and validation processes
• Create automated checks for data integrity across MongoDB systems
• Build dashboards and alerts for data quality metrics
• Support ETL pipeline testing and validation

Process Improvement & Strategy

• Analyze current QA processes and identify optimization opportunities
• Research and recommend new testing tools and methodologies
• Participate in technical decision-making and sprint planning
• Document QA best practices and create team knowledge base

What We're Looking For

Required Qualifications:

• Currently pursuing or recently completed degree in Computer Science, Engineering, or related field
• Strong understanding of software testing principles and methodologies
• Experience with at least one programming language (Python, JavaScript, Java, etc.)
• Basic knowledge of databases (SQL/NoSQL) and API testing
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work in a collaborative environment

Preferred Qualifications:

• Experience with test automation frameworks (Selenium, Pytest, Jest, etc.)
• Knowledge of healthcare IT, compliance requirements, or regulated industries
• Familiarity with cloud platforms (AWS) and DevOps practices
• Experience with data analysis, ETL processes, or machine learning
• Previous internship or project experience in QA/testing roles

Technical Skills We'd Love to See:

• Testing Tools: Selenium, Postman, Jest, Pytest, Cypress
• Programming: Python, JavaScript, SQL
• Databases: MongoDB, SQL databases
• Cloud/DevOps: AWS, Docker, CI/CD pipelines
• Data Tools: Pandas, data validation frameworks
• Version Control: Git, GitHub

What You'll Gain

Professional Development:

• Real Impact: Your work directly affects a production healthcare platform used by hospitals
• Mentorship: Work closely with senior engineers and receive structured feedback
• Healthcare Domain Knowledge: Learn about healthcare compliance, accreditation, and regulatory requirements
• Enterprise Technology: Gain experience with production-grade systems, security, and scalability

Technical Skills:

• Advanced testing methodologies and automation frameworks
• Healthcare data processing and compliance requirements
• AI/ML model testing and validation techniques
• Data engineering and quality assurance practices
• Modern DevOps and CI/CD practices

Career Opportunities:

• Immediate Value: Potential upfront equity compensation based on qualifications
• Strong potential for full-time conversion based on performance
• Network with healthcare technology professionals
• Portfolio of real-world healthcare technology projects
• Experience that's highly valued in the growing healthtech sector

Our Tech Stack

• Frontend: React, Modern CSS
• Backend: Node.js, TypeScript, Python, RESTful APIs
• Database: MongoDB, with future SQL integrations
• Cloud: AWS (EC2, S3, Lambda, RDS)
• AI/ML: Document processing, natural language processing
• Security: HIPAA compliance, encryption, audit logging
• DevOps: Docker, GitHub Actions, automated testing

Compensation & Equity

• Base Position: Unpaid educational internship
• Equity/Stock Compensation: Available upfront based on applicant qualifications and experience level

Our Hiring Process

We believe in a transparent and thorough selection process that respects your time while ensuring mutual fit:

1. Initial Screening Call We'll discuss your background, experience, and career goals, while providing an overview of the role and our team culture.
2. Technical Interview We'll have an in-depth discussion about your experience and explore related technical concepts. You should be prepared to walk through every aspect of quality assurance as it pertains to your resume.

Ready to apply? We look forward to hearing from you!

MedLaunch is an equal opportunity employer committed to diversity and inclusion.

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!

The Role:

Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‑on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‑grade engineering, multi‑agent architectures, cloud platform strategy, and the development of Launch’s AI practice.

Responsibilities Include:

Architecture & Technical Strategy

• Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
• Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
• Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
• Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.

AI Engineering & Delivery

• Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
• Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
• Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
• Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
• Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
• Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
• Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
• Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.

Hands-On Engineering

• Write production code and lead by example — this role requires someone who is still close to the code.
• Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
• Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
• Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
• Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
• Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.

Leadership & Client Advisory

• Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
• Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
• Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
• Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
• Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
• Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
• Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
• Contribute to Launch's growth — practice development, thought leadership, and hiring.

Qualifications:

Must-Haves:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
• 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
• Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
• Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
• Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
• Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
• Experience leading engineering teams in agile delivery environments.
• Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
• Executive presence and communication skills effective with both technical and non-technical audiences.
• Proven ability to operate in ambiguous environments and adapt to diverse client cultures.

Strong Differentiators

• Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
• Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
• Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
• Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
• Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
• Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
• Domain depth in industries such as healthcare, financial services, retail, or public sector.

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

• Role: QE Solution Architect
• Skills: GHCP (GitHub Copilot), Azure OpenAI, AI-based test generation
• Experience: 14 + Years.
• Location: Houston TX.

Role Summary

We are seeking an AI-Driven Quality Engineering (QE) Solution Architect to lead the design and rollout of next‑generation, AI-enabled QE solutions powered by platforms such as GitHub Copilot (GHCP), Azure OpenAI, and intelligent automation toolchains. This role will drive RFP/proposal solutioning, lead strategic AI pilots, and deliver tangible quality, velocity, and cost benefits that accelerate client adoption of AI across the account. The architect will work closely with Sales, Delivery, DevOps, and Enterprise Architecture to position differentiated, automation-first QE solutions and enable account mining.

Key Responsibilities:

1. AI-Enabled QE Solutioning (Primary Charter)

• Architect AI-first QE solutions leveraging GHCP, Generative AI, ML-based defect prediction, autonomous test generation, and intelligent test data creation.
• Define AI use cases across the entire QE lifecycle—test design automation, risk-based optimization, impact analytics, and continuous validation.
• Build reusable AI accelerators, prompts, copilots, templates, and solution kits to differentiate QE offerings.
• Evaluate and recommend best-fit AI/QE platforms for client ecosystems including GHCP, Azure OpenAI, Selenium, Playwright, Tricentis, Katalon, and cloud-native DevOps stacks.
• Establish governance for responsible AI usage in QE.

2. Strategic Projects, Pilots & Account Mining

• Lead AI pilots and proof-of-value (PoV) initiatives to demonstrate measurable impact—cycle time reduction, automation uplift, defect leakage reduction, and cost efficiency.
• Drive cross-account AI adoption by identifying areas for modernization, automation, and AI-led productivity improvements.
• Shape new opportunities within accounts through strategic programs, capability showcases, and client workshops.
• Develop account-specific AI roadmaps, maturity models, and transformation charters.

3. Solutioning & Pre-Sales Leadership

• Own QE solutioning for RFPs, RFIs, and proposals, including estimation, delivery models, staffing, and differentiators.
• Create compelling value narratives highlighting AI-enabled acceleration, automation efficiency, and quality cost reduction.
• Represent QE in orals, client demos, and AI capability walk-throughs.
• Build scalable solution blueprints that integrate functional, automation, performance, security, data, and AI-driven validation.

4. Quality Engineering Leadership

• Provide architectural direction across Functional QA, UI/API automation, Performance, Security, and AI-led QE.
• Recommend enterprise-grade QE toolchains optimized for ERP, CRM, API-led, and cloud-native digital ecosystems.
• Drive QE modernization by introducing self-healing automation, autonomous test generation, shift-left testing, and DevOps‑integrated quality gates.

5. Collaboration, Governance & Delivery Alignment

• Work with Delivery, DevOps, Engineering, and Enterprise Architecture to ensure solution feasibility and adoption.
• Ensure seamless transition from solution to delivery including guardrails, scope clarity, and quality governance.
• Align solutions with organizational cost models, margin expectations, and client value realization frameworks.

Required Skills & Experience

• 12–15 years in QE; 3+ years in QE Architecture, AI-led QE, Solutioning, or Pre-Sales.
• Strong expertise with GHCP (GitHub Copilot), Azure OpenAI, AI-based test generation, and enterprise automation frameworks.
• Demonstrated experience leading client-facing AI pilots/PoVs.
• Ability to create high-quality proposal content—estimates, assumptions, solution writeups, value metrics.
• Excellent communication, storytelling, and stakeholder influence skills.
• Experience working with bid teams and large transformation programs.

Preferred Skills / Certifications

• Experience with AI/QE in ERP (SAP/Oracle/NetSuite), CRM, MuleSoft/API-led integrations, and cloud modernization programs.
• exposure to performance engineering, application security, and DevOps pipelines.
• Certifications: ISTQB, Agile, AWS/Azure, DevOps, GitHub, or AI certifications.

About Us

We're continuing to build a transformative healthcare accreditation platform that is revolutionizing how our clients and new hospitals manage compliance, quality improvement, and regulatory processes. Our platform combines cutting-edge technology with deep healthcare domain expertise to solve real problems for healthcare organizations nationwide.

The Opportunity

We are looking for motivated developers for our intern-to-full-time track. You will be given full-time responsibilities from day one in a high-velocity growth startup environment. You'll work directly with our engineering team on a production healthcare platform, gaining hands-on experience with enterprise-grade systems while making real contributions that impact our product and customers.

Compensation Structure:

The base position is unpaid; however, highly qualified candidates may receive upfront equity compensation based on their experience level and demonstrated capabilities. We evaluate each applicant individually and offer equity packages commensurate with their potential contribution.

About the Role

We are hiring a Backend Engineer who can design, implement, and maintain the robust, scalable server-side systems that power our platform. You will be responsible for a variety of tasks focused on data integrity, API performance, and system reliability, working on features from the database all the way through to serving the application's core logic.

Key Responsibilities

• Backend Development: Design and develop robust Node.js (TypeScript) server-side applications, build and maintain RESTful APIs, and ensure data integrity and security within MongoDB.
• Database & Data Modeling: Own the database schema design, optimization, querying, and indexing within MongoDB Atlas to ensure high performance and scalability.
• API Architecture: Define and evolve the structure of our internal and external RESTful APIs, focusing on performance, security, and maintainability.
• System Scalability: Implement caching, message queues, and distributed system concepts to ensure the platform remains performant and scalable under high load.
• Security & Compliance: Implement secure authentication systems, ensure HIPAA compliance, and maintain high security standards across the platform, especially for data at rest and in transit.
• DevOps & Quality: Develop and maintain automated backend testing, version control using Git/GitHub, and contribute to CI/CD pipelines and cloud deployment strategies.
• Cloud Infrastructure: Utilize and manage backend services within AWS (ECS, S3, Lambda) to support highly available and resilient application services.

Technical Stack

• Back-End: Node.js (TypeScript), MongoDB Atlas, AWS (ECS, S3, Lambda), RESTful APIs
• DevOps/Tools: Git/GitHub, Automated Testing Frameworks

Required Qualifications

Successful candidates must have a specific deep specialization and a foundational understanding of the others to contribute across the backend stack:

• Backend Foundation:
• 2+ years of experience with Node.js (TypeScript, API development).
• Strong understanding of modern web security, data protection, and collaborative development workflows using Git/GitHub.
• Backend Depth: Strong expertise with MongoDB (design, optimization, complex querying, aggregation pipelines) and implementing robust RESTful APIs with authentication, authorization, and error handling.
• System Design & Architecture: Proven ability to design and architect highly available, scalable, and resilient server-side applications.
• Problem Solving: Ability to debug and troubleshoot complex production issues and performance bottlenecks in the backend and database layers.

Preferred Qualifications (Nice to Have)

• Previous experience in a high-velocity team environment with separated responsibilities.
• Understanding of HIPAA compliance and working within the healthcare or other regulated industries.
• Experience with AWS services (ECS, S3, Lambda) or DevOps practices (Docker, CI/CD).
• Experience with server-side caching (e.g., Redis) or message queuing systems (e.g., SQS).

Our Hiring Process

We believe in a transparent and thorough selection process that respects your time:

• Initial Screening Call: Discussion of your background, experience, and career goals.
• Technical Challenge: A real-world technical challenge to complete at your own pace.
• Technical Interview: An in-depth discussion where you will walk through, debug, and defend your solution, demonstrating complete ownership and understanding of the entire codebase and architectural decisions—regardless of whether code was generated manually or with AI assistance.

We're looking for engineers who can think critically, adapt their approach, and truly understand the systems they build.

Job Title: Integration Strategy Architect Experience: 10+ years in enterprise application integration and strong expertise in Boomi Integration platform

Job Summary We are seeking an experienced Integration Strategy Architect with deep expertise in designing, assessing, and modernizing enterprise integration landscapes.

The ideal candidate will have 10+ years of hands-on experience integrating complex business applications using middleware platforms such as Boomi and other leading integration technologies.

This role requires strong architectural thinking, the ability to evaluate existing integrations, and the capability to recommend best practices, target-state architecture, and integration strategies aligned with business and IT goals.

Key Responsibilities • Define and own the enterprise integration strategy, architecture standards, and best practices • Develop and execute the Integration strategy in alignment with business objectives and IT strategy.

• Design and govern API-led, event driven, canonical data integration patterns and resilient integration solutions across ERP and surrounding enterprise systems.

• Lead integration architecture for ERP platform SAP S/4HANA and other applications like AD, UKG, Salesforce, ServiceNow, MES Systems like Camstar/OpCenter and other business applications.

• Leverage Boomi AI for intelligent mapping, transformation and integration acceleration and Identify opportunities for AI-driven design, documentation, monitoring insights and optimization.

• Analyze existing integration landscapes to: o Identify gaps, risks, redundancies, and performance issues o Recommend modernization, optimization, and rationalization strategies • Provide architectural guidance on: o Hybrid integration patterns and solutions during cloud migration phases.

o Design Boomi cloud deployment strategies, ensure high availability and disaster recovery • Establish integration governance including: o Design principles o Naming conventions o Error handling, logging, monitoring, and security standards • Collaborate with business stakeholders, enterprise architects, application teams, infrastructure teams and vendors to align integration solutions with business requirements • Mentor integration developers and technical teams on architecture standards and best practices • Support integration roadmap planning, estimation, and technical decision-making • Ensure integrations comply with security, compliance, and data privacy requirements Required Skills & Experience • 10+ years of experience in enterprise application integration • Strong hands-on and architectural experience with Boomi and at least one other major middleware platform • Proven experience integrating SAP S/4HANA with Salesforce, Web Services, API’s, UKG, MES, and other third-party applications • Strong Expertise in Boomi Atomsphere, Boomi Flows, API Management, Hybrid integration architectures (On Prem, Cloud).

• Expertise in Boomi integrations design, Error handling, Exception Frameworks and logging.

• Strong Knowledge of Atoms, Molecules, Atom clouds and deployment topologies and Proven ability to manage Environment Strategy and reuse the licenses.

• Deep understanding of: o Integration patterns (point-to-point, hub-and-spoke, ESB, API-led, eventdriven) o REST/SOAP APIs, messaging, file-based integrations, and EDI o API Security Patterns (OAUTH2, API Keys, JWT) • Experience assessing legacy integration environments and defining future-state architectures.

• Knowledge of regulatory and audit requirements (SOX, SOC- as applicable).

• Ability to translate business requirements into technical integration designs.

• Excellent documentation, communication, and stakeholder management skills.

• Experience working in large-scale, global enterprise environments.

*** No 3rd parties accepted

*** Must work onsite Pittsburg, PA

The Enterprise Architect would perform a crucial role in shaping the bank’s technology landscape by defining and governing enterprise-wide architecture standards, frameworks, and roadmaps. This role is strategic focused to ensure that technology investments are aligned with business strategy, regulatory requirements, and digital transformation goals across consumer, commercial, and corporate banking. The ideal candidate would bring in-depth expertise in enterprise architecture (full stack application design, development, implementation, and support with hybrid deployment approach (on-premises and cloud-native)), stakeholder engagement, and banking technology modernization that is critical for successful running, maintaining of secure and robust technology stack.

Key Responsibilities:

Develop and maintain enterprise architecture blueprints across applications, data, infrastructure, and security domains.

• Partner with leader to define and implement the enterprise architecture vision, strategy, and operating model tailored to banking business lines.
• Define framework for architecture standards for responsive design, accessibility, and cross-platform compatibility
• Align technology strategy with business capabilities, regulatory obligations, and operational priorities.
• Establish and Lead architecture governance processes, including review boards, standards enforcement, and solution alignment.
• Collaborate with business and IT leaders to evaluate and prioritize technology initiatives.
• Define reference architectures and reusable patterns for cloud, API, integration, and data platforms.
• Evaluate emerging technologies (e.g., biometrics, AI/ML, real-time payments) for strategic fit and innovation potential.
• Support modernization of legacy systems and migration to cloud/hybrid environments.
• Ensure architectural compliance with banking regulations (e.g., GLBA, FFIEC, SOX, BCBS 239).
• Mentor solution architects and technical leads across business units.

Required:

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.

• 10+ years of experience in full stack development and enterprise architecture, with at least 3 years of experience in enterprise architecture or solution architecture strategy in digital banking or fintech.
• Strong understanding of banking domains including core banking, lending, payments, digital channels, and risk.
• Expertise in architecture frameworks (e.g., TOGAF, Zachman) and modeling languages (e.g., ArchiMate, UML).
• Experience with cloud platforms (AWS, Azure, GCP), hybrid environments, and API ecosystems.
• Familiarity with enterprise architecture tools (e.g., LeanIX, Ardoq, MEGA, Sparx EA).

Preferred:

TOGAF, Azure Architect, AWS Architect or equivalent certification.

• Experience in digital transformation, cloud migration, or core banking modernization.
• Exposure to AI/ML applications, enterprise risk, cybersecurity, and data governance programs.
• Familiarity with agile and DevSecOps practices in regulated environments.