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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.

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.

*** 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.

The Integration Architect defines, designs, and governs enterprise integration architecture standards across AWS, Azure, Microsoft Fabric, and on-prem systems. This consultant creates scalable integration blueprints, reusable patterns, and secure connectivity frameworks that ensure interoperability, reliability, and domain-aligned data exchange. The role partners closely with domain teams, platform engineering, API management teams, and enterprise architecture to accelerate delivery while maintaining architectural integrity.

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• Define and maintain enterprise standards for API design, event schemas, messaging patterns, and integration of contracts.
  
• Establish integration governance across AWS, Azure, MS Fabric, and on-prem systems.
  
• Define patterns for ADS (Authorized Data Sources) alignment, data contracts, schema evolution, and anchor key management.
  
• Enforce adherence to enterprise security principles, including OAuth2/OIDC, JWT, TLS, Zero Trust patterns.
  

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• Build and maintain unified enterprise integration architecture blueprints spanning cloud, Fabric, and on prem connectivity.
  
• Create domain specific and cross domain integration flow maps, canonical API patterns, and event driven reference architectures.
  
• Align AWS, Azure, MS Fabric, and on-prem patterns under Unified Architecture.
  

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• Develop reusable integration patterns for:
  
  
  • 
    
  • AWS: API Gateway, Event Bridge, SNS/SQS, Lambda, Step Functions, Glue, EMR, Redshift, Lake Formation, Kinesis, AWS Batch, AWS ECR, AWS ECS Fargate.
    
  • Azure: APIM, Functions, Service Bus, Azure Data Factory (all IR types), Azure Synapse Pipelines, Azure Stream Analytics, Azure Batch, Azure Data Explorer ingestion.
    
  • MS Fabric: Data Factory pipelines, Lakehouse ingestion interfaces, Fabric Data Pipelines, Notebook-based ETL, Warehouse ingestion.
    
  • On prem: MFT, MQ, legacy services.
    
  
  
  
• Provide templates for API contracts, event schemas, integration error handling, observability hooks, and resiliency patterns.
  

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• Define integration patterns incorporating ADS rules, domain ownership, and anchor key management for interoperability.
  
• Ensure all integration patterns embed security, observability, lineage awareness, and operational resiliency.
  
• Collaborate with data governance to ensure consistent entity resolution and cross?domain identifier mapping.
  

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• Guide domain teams in implementing target state integration architectures.
  
• Lead or participate in architecture reviews for API designs, event models, platform integrations, and connectivity.
  
• Recommend modernization opportunities to retire from legacy integration mechanisms and adopt event-driven/API?first models.
  

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• 8-12+ years in integration architecture, API engineering, event-driven design, or hybrid integration.
  
• Strong hands-on expertise across:
  
  • 
    
  • AWS: API Gateway, Event Bridge, SNS/SQS, Lambda, Step Functions, Glue, EMR, Redshift, Lake Formation, Kinesis, AWS Batch, AWS ECR, AWS ECS Fargate.
    
  • Azure: APIM, Functions, Service Bus, Azure Data Factory (all IR types), Azure Synapse Pipelines, Azure Stream Analytics, Azure Batch, Azure Data Explorer ingestion.
    
  • MS Fabric: Data Factory pipelines, Lakehouse ingestion interfaces, Fabric Data Pipelines, Notebook-based ETL, Warehouse ingestion.
    
  • RDBMS: SQL, Oracle, DB2, RDS, etc.
    
  • On prem: MQ, MFT, REST/SOAP services.
    
  
  
  
• Understanding of ADS, anchor key management, data/domain contracts, lineage aware integration.
  
• Experience designing event driven, API first, batch, and hybrid integration architectures.
  

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

ESSENTIAL DUTIES AND RESPONSIBILITIES

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

• Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases.
• Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases.
• Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows.
• Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
• Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization.
• Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications.
• Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
• Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
• Mentor and upskill existing developers on AI concepts, patterns, and best practices.

Required Skills & Experience

• 5+ year of full stack development experience.
• Strong software engineering background with experience building production-grade applications.
• Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar.
• Practical experience building RAG pipelines using vector databases and embedding models.
• Experience with prompt engineering, prompt versioning, and evaluation techniques.
• Solid Python experience for AI development.
• Experience integrating AI services with REST APIs, microservices, and cloud-native architectures.
• Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts.
• Understanding of data formats such as JSON, XML, and document-based data.
• Ability to translate business problems into AI-driven technical solutions.

Preferred Qualifications

• Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar.
• Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools.
• Experience implementing AI safety controls, policy enforcement, and evaluation frameworks.
• Exposure to video or image models and multimodal AI use cases.
• Experience working in enterprise environments with security, compliance, and change management considerations.
• Prior experience mentoring or leading developers in new technical domains.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

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.

The future of AI whether in training or evaluation, classical ML or agentic workflows starts with high-quality data.

At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.

Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.

Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines powering everything from model training datasets to eval test sets to continuous feedback loops. We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems we'd love to talk.

HumanSignal is looking for an exceptional Strategic Account Executive to drive growth with the world's most innovative AI companies. You'll be selling at the cutting edge: our Label Studio platform and Data Creation Laboratory services power the training data behind breakthrough AI applications at frontier labs and Fortune 500 enterprises.

This isn't traditional SaaS sales. Our customers are building the futureadvanced language models, autonomous systems, embodied AI, and applications that don't exist yet. They need purpose-built datasets manufactured from scratch, not scraped from the web. You'll be selling both our platform technology and our operational capability to create novel training data in controlled environments. The technical depth, deal complexity, and strategic importance of these relationships make this one of the most exciting sales roles in AI infrastructure.

You'll own relationships with AI leaders like Anthropic, OpenAI, Google DeepMind, Meta, Nvidia, Tesla, and others pushing the boundaries of what's possible. Your success will directly enable the next generation of AI breakthroughs.

You Will:

• Own strategic accounts: Drive the entire relationship with our most important AI customersfrom initial engagement through expansion and renewal
• Hunt and close new logos: Identify and win new customers among frontier AI labs, tech giants building AI capabilities, and innovative robotics companies
• Navigate complex organizations: Build deep relationships with executive stakeholders across engineering, ML research, product, and operations within customer organizations
• Drive revenue growth: Expand wallet share by identifying new use cases, additional business units, and opportunities to deepen our partnership
• Orchestrate internally: Lead cross-functional teams including delivery operations, engineering, product, and laboratory operations to develop winning strategies and flawless execution
• Be the customer advocate: Serve as the voice of the customer internally, influencing product roadmap and operational capabilities based on market needs
• Solve complex problems: Navigate technical requirements, custom data creation scenarios, and novel use cases that have never been done before
• Think strategically: Develop and execute comprehensive account plans that position HumanSignal as the long-term data infrastructure partner
• Close significant deals: Structure and negotiate contracts ranging from $500K to $5M+ with sophisticated technical and business buyers

Ideally You'd Have:

• 8+ years of enterprise sales or account management experience with a track record of exceeding quota
• 2+ years selling deeply technical products or services to both business and technical audiences (ML engineers, researchers, AI/ML leaders)
• Proven success closing complex, multi-stakeholder deals in the $500K-$5M+ range
• Experience in AI/ML, data infrastructure, cloud services, or other technical domains where you've sold to engineering and research teams
• Ability to understand technical concepts quickly and translate them into business value
• Strong consultative selling skills with ability to uncover needs, navigate ambiguity, and co-create solutions
• Executive presence and experience developing relationships with C-level stakeholders
• Track record of driving renewals and expansion within strategic accounts
• Excellent written and verbal communication skills, including creating executive-level materials
• Proficiency with modern sales tools (Salesforce, Outreach, Clari, LinkedIn Sales Navigator)
• Strong project management abilities and exceptional organizational skills
• Passion for AI and excitement about working at the frontier of what's possible

Nice to Haves:

• Technical background or degree in Computer Science, Engineering, or related field
• Experience selling services alongside software products
• Understanding of how training data impacts model performance
• Existing relationships within the AI research or frontier lab community
• Experience in fast-growing startups where you've helped build sales processes from scratch

Why This Role Is Special:

You're not selling commodity softwareyou're enabling the teams building AGI, autonomous vehicles, humanoid robots, and AI applications we can't even imagine yet. Every deal you close helps unlock new capabilities that could change the world. You'll work with the smartest people in AI, solve problems that have never been solved before, and build relationships with companies defining the future of technology.

About HumanSignal:

At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require.

We believe the next frontiers in AI won't be unlocked by scraping what's left on the webthey'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability.

We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future.

We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $120,000 to $200,000 USD plus commission. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.