Role Description This is a remote consulting opportunity supporting a government client. Subcontractor Opportunity: This is not an employee position. The successful consultant must be incorporated and able to provide services through their corporation. The Systems Architect provides strategic and technical leadership across enterprise infrastructure environments, designing and governing secure, scalable, and integrated systems that support business operations and modernization initiatives. The role is responsible for defining infrastructure architectures spanning data centres, networks, storage, compute, and cloud platforms while ensuring alignment with enterprise architecture standards and modernization priorities. Key Responsibilities - Define and maintain enterprise infrastructure architecture strategies, principles, and target-state designs - Develop architecture blueprints covering data centres, networking, storage, compute, and cloud platforms - Lead development of infrastructure solution designs aligned with business and technical requirements - Define integration strategies across on-premise and cloud systems - Design hybrid architectures integrating on-premise environments with cloud platforms such as Microsoft Azure, AWS, and GCP - Guide migration initiatives from legacy infrastructure to cloud-based environments - Evaluate infrastructure technologies and recommend modernization solutions - Ensure infrastructure architectures incorporate security-by-design principles - Collaborate with solution architects, engineers, and operations teams to guide implementation - Maintain and organize architecture documentation and technical artifacts within the enterprise repository - Assess infrastructure performance and identify opportunities for optimization - Design for resilience, fault tolerance, and disaster recovery Key Deliverables - Enterprise infrastructure architecture strategy and target-state designs - Infrastructure solution designs and technical blueprints - Hybrid and cloud architecture designs and migration plans - Architecture review outputs and governance artifacts - Infrastructure roadmaps and modernization recommendations - Enterprise repository documentation and artifacts Qualifications - Bachelor’s degree in Computer Science, Information Technology, or a related field preferred - Professional certifications in cloud platforms such as Azure, AWS, or GCP considered an asset - Certifications in virtualization platforms such as VMware considered an asset - Additional certifications such as CISSP or ITIL considered an asset Requirements - Proven experience as a Systems Architect with a focus on enterprise infrastructure and solution design - Strong understanding of networking, virtualization, storage, compute, and cloud platforms - Experience designing hybrid architectures and leading infrastructure migration initiatives - Ability to translate business requirements into detailed technical designs - Experience working with Microsoft Azure and hybrid environments - Familiarity with security frameworks, compliance requirements, and infrastructure best practices - Experience collaborating across technical teams to deliver complex infrastructure solutions

Role Description As an Advisor Application Architect at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve - a community's most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare's biggest challenges. - Serve as the account domain expert, maintaining a 360-degree view of the account, business priorities, and technology landscape. - Provide technology leadership with a strong focus on cloud-native design and AWS application architecture. - Assess solution risks and provide recommendations to address security, resiliency, performance, and operational concerns. - Implement technical processes to enable solution delivery, DevOps pipelines, and infrastructure automation. - Drive project delivery by translating architectural vision into scalable, supportable solutions. - Provide consultation on non-routine technical issues and support Level 4 production needs. - Participate in escalation calls and help drive timely technical resolution. - Engage directly with clients as needed to communicate architecture decisions, solution direction, and technical recommendations. - Design cloud-native and hybrid application architectures. - Define architecture for scalability, resiliency, performance, and cost optimization. - Lead application migration and modernization to AWS. - Guide adoption of AWS best practices, reference architectures, and Well-Architected principles. - Partner with security teams to implement IAM, encryption, network security, and compliance controls. - Support production reliability, troubleshooting, and architecture governance. - Work with development teams on containerization, serverless, APIs, and event-driven architectures. - Participate in architecture review boards. Qualifications - Eight or more years of application architecture and/or product development experience. - Experience with architecture frameworks such as TOGAF, Well-Architected principles. - Experience designing solutions on AWS. - Knowledge of core AWS services such as EC2, Lambda, S3, RDS/Aurora, API Gateway, ECS/EKS, CloudWatch, IAM, VPC, CloudFormation. - Experience with microservices, serverless architectures, event-driven design, container platforms, integration patterns. - Familiarity with DevSecOps, Infrastructure as Code, monitoring and observability, cost optimization, high availability / disaster recovery. - Knowledge of software systems, applications, and network markets. - Understanding of application design principles and configurations. - Familiarity with programming languages, operating systems, hardware, and software. - Experience with SDLC and client requirements. - Leadership skills to mentor others. - Strong communication skills. - Preferred: Active Directory restructuring, ADO, Security experience. - Preferred: Okta or other IAM experience. - Mandatory: .NET development experience. - Preferred Certification - AWS Certified Solutions Architect – Associate or Professional. Requirements - Fully remote opportunity within the U.S. - Minimal travel required (0-10%). - Video cameras required during interviews and initial orientation. Benefits - Generous, flexible vacation policy. - 401(k) employer match. - Comprehensive health benefits. - Educational assistance. - Leadership and technical development academies to help build your skills and capabilities.

Role Description This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. Global Sales at HPE is about building the future. We are redefining what’s next and combining our legacy of innovation with a bold new goal to accelerate everything we do. Our sales organization is comprised of 10,000+ professionals in sales, presales, service, and support functions. Together with our partners, we deliver global, commercial, public sector & small/medium business customers throughout 11 geographies. We’re transforming businesses. Join us redefine what’s next for you. What you’ll do: - Strong demonstrated background deploying and configuring enterprise Kubernetes (Rancher RKE2, Red Hat OpenShift, CNCF Kubernetes) - microk8s and kubespray should not be considered demonstrated background. - Familiarity with SLURM on Kubernetes frameworks (Slinky, SUNK, etc.). - Strong demonstrated background working with Ansible automation frameworks. - Familiarity with leveraging REST APIs for product integrations. - Familiarity with HPC architectures, network topologies, and high performance storage platforms. - Knowledge of NVIDIA's AI Enterprise tools, specifically BCM and DCGM for deploying and managing. Architecture leadership - Lead end-to-end architecture design for sovereign AI deployments, ensuring compliance with data residency, privacy, and regulatory requirements. - Develop scalable, secure, and robust AI/ML reference architectures, including model lifecycle management, data pipelines, inference infrastructure, and governance frameworks. - Evaluate and select technologies, cloud/on-prem infrastructure, and tooling aligned to sovereign and risk-management constraints. - Provide architectural oversight across implementation teams, ensuring alignment with enterprise standards and risk mitigation strategies. Risk management and governance - Identify, assess, and manage risks across the AI solution lifecycle. - Develop and implement governance frameworks that embed responsible AI principles, auditability, and continuous risk monitoring. - Partner with security, compliance, and legal teams to ensure adherence to sovereignty mandates and enterprise risk frameworks. - Embed security-by-design and risk-by-design in architecture, deployment, and operations. Technical execution - Create architectural documentation, diagrams, and governance frameworks for AI model development, deployment, and monitoring. - Drive security-by-design principles into all AI components, including encryption, access control, auditing, and safe model operation. - Partner with engineering, security, compliance, and product teams to ensure architectural integrity throughout execution. - Lead technical reviews and guide the resolution of architectural and integration issues. Customer engagement and stakeholder management - Serve as a trusted advisor to customers—C-suite, technical leaders, and regulatory stakeholders, helping them shape their sovereign AI strategy, facilitating design workshops, discovery sessions and technical deep-dives. - Translate complex customer requirements into actionable architectures and solution roadmaps. - Communicate architectural decisions and recommendations to executives, delivery teams, security, product engineers, and customers. - Maintain tight alignment with multiple internal functions within HPE. Sovereign AI Thought Leadership - Stay ahead of global developments in sovereign AI, regulation, digital sovereignty trends, and AI risk management. - Contribute to thought leadership initiatives through whitepapers, presentations, and technical guidance. - Serve as an ambassador for architectural excellence across geographies, ensuring alignment and knowledge sharing across regional teams. - Mentor, coach, and develop solution and enterprise architects—building capability, consistency, and technical depth across locations. Qualifications - 10+ years’ experience in enterprise sales or sales leadership within IT services, cloud, AI/ML, or data/analytics domains. - 5+ years hands-on Linux experience. Requirements - Strong grounding in data architecture, ML lifecycle, cloud platforms (AWS/Azure/GCP/Greenlake), MLOps tooling, security/privacy frameworks, APIs/integration patterns, with the ability to translate technical concepts into business value. - Proven experience selling complex technology solutions to enterprise and/or public sector organizations. - Demonstrated ability to influence teams without direct authority across GEOs, business units, and matrix environments. - Exceptional communication skills with the ability to translate technology into business value. Benefits - Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. - Personal & Professional Development: We invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have. - Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness.

Role Description The AI/ML Practice Architect is a senior, hands-on technical leader who combines solution architecture and customer consultation with deep applied AI/ML engineering capability. This role accelerates practice growth by shaping repeatable offerings, guiding delivery excellence, and building production-grade AI systems — especially GenAI/LLM, retrieval, evaluation, and agentic workflows — integrated into customer platforms. This role will travel as needed, which includes customer onsite workshops, executive presentations, delivery kickoffs, and internal practice events. Why This Role Exists - Drive measurable customer outcomes by designing and delivering AI/ML and GenAI solutions end-to-end (discovery → build → deploy → operate). - Scale TGS AI capabilities through reusable playbooks, reference architectures, accelerators, and enablement. - Partner with Sales and Delivery to shape, price, and win work; serve as a trusted advisor in pre- and post-sales engagements. Key Outcomes (First 6–12 Months) - Establish (or evolve) the AI/ML Solution Playbook: discovery templates, context/RAG patterns, evaluation rubrics, and governance/guardrails. - Deliver 2–4 production deployments (or major releases) demonstrating reliability, safety, and business value; publish reusable artifacts to the practice repository. - Create a reference architecture for agentic AI/LLM systems (tool use, memory, orchestration, human-in-the-loop controls, observability). - Improve delivery predictability: clear estimation models, quality gates, and SDLC/MLOps/LLMOps standards aligned to DevOps principles. - Support GTM: contribute to proposals, SOWs, pricing, case studies, demos, and executive narratives that help land-and-expand accounts. Core Responsibilities - Practice Architecture & Consulting (Customer Value + Growth): - Lead customer discovery and value definition: map current/future-state workflows, define success metrics, and translate business goals into technical requirements. - Design solution architectures and delivery approaches; document assumptions, risks, dependencies, and cost/effort estimates. - Create and maintain practice solution content: reference architectures, accelerators, templates, delivery playbooks, and pricing guidance. - Partner with Sales, Solutioning, Delivery Leadership, and Practice Directors on pre-sales strategy, proposals, and executive communications. - Mentor consultants/engineers: design reviews, technical coaching, and best-practice enablement across engagements. - Continuously optimize delivery processes, promote reuse, and champion innovation rooted in measurable customer impact. - AI/ML Engineering & Delivery (Hands-on Technical Leadership): - Build and ship production AI/ML systems including model integration, data pipelines, services, and user experiences. - Design and implement GenAI/LLM solutions: prompt & context engineering, RAG grounding, embedding/vector store strategies, and latency/quality trade-offs. - Evolve prompted workflows into agentic AI: durable execution, tool use, memory, orchestration (single- and multi-agent), and human-in-the-loop gates. - Establish evaluation and experimentation rigor: offline/online tests, human + AI evaluation rubrics, error taxonomies, and KPI instrumentation. - Implement security, safety, and compliance controls: PII handling, prompt-injection mitigations, model risk management, and red-teaming. - Operationalize MLOps/LLMOps: CI/CD, model/version management, observability, drift/feedback loops, and incident response. - Leadership, Accountability & Cross-Functional Influence: - Drive execution cadence with clear gates, owners, and KPIs from discovery through launch. - Hold self and others accountable to commitments; proactively resolve issues before they impact customers. - Communicate trade-offs, impact, and risk to technical and non-technical stakeholders; produce executive-ready narratives and artifacts. - Support practice hiring/interviewing and capability building as needed; contribute to internal communities of practice. Qualifications - 8 or more years in full stack software engineering, data engineering, ML engineering, or applied AI, including delivery in customer-facing or consulting environments. - 3 or more years building and deploying ML/LLM/GenAI-powered products (e.g., prompt/context engineering, RAG, evaluation, and guardrails). - Strong solution architecture skills: requirements gathering, estimation, system design, and leading technical decisions across teams. - Proficiency in Python and at least one of: TypeScript/JavaScript, Java, Go, or Rust; experience building APIs and services (e.g., FastAPI, Django, Node/Express). - Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker); familiarity with Kubernetes is a plus. - Ability to influence across stakeholders (Sales, Delivery, Engineering, Product, Security/Privacy) and communicate effectively at multiple levels. Preferred Qualifications - Experience deploying or fine-tuning open-source LLMs (e.g., Hugging Face, vLLM, Ollama) and/or using managed services (e.g., Azure OpenAI, Bedrock, Vertex AI). - Hands-on experience with agent frameworks/orchestration (e.g., LangGraph, AutoGen, CrewAI) and tool integration patterns. - Experience with vector databases and semantic search (e.g., Pinecone, Weaviate, Chroma) and advanced RAG/knowledge graph techniques. - Experience leading small teams or technical workstreams while remaining hands-on. - Exposure to regulated environments (e.g., Finance & Healthcare) and formal security/privacy review processes. Success Profile (Competencies & Behaviors) - Manages Complexity: Integrates diverse inputs, clarifies ambiguity, and translates business and technical constraints into actionable architecture and delivery plans. - Customer Focus: Builds trusted relationships, aligns to measurable outcomes, and delivers customer-centric solutions with quantified impact. - Communicates Effectively: Delivers clear multimode communication; explains trade-offs, risks, and “the why” behind decisions to technical and non-technical audiences. - Ensures Accountability: Owns outcomes, meets commitments, escalates early, and drives execution to closure. - Cultivates Innovation: Creates new and better ways for the organization to be successful; promotes reuse and continuous improvement. - Optimizes Work Processes: Designs efficient delivery processes; improves quality through automation, standards, and playbooks. - Nimble Learning / Self-Development: Learns through experimentation, seeks feedback, and stays current with AI/ML and GenAI trends. - Collaborates: Builds partnerships across Sales, Delivery, Engineering, and customer teams to meet shared objectives. - Decision Quality: Makes good and timely decisions using decision criteria, trade-offs, and risk mitigation. - Manages Ambiguity / Situational Adaptability: Operates effectively when the path is unclear; adapts approach to shifting constraints and stakeholder needs. - Drives Results: Consistently delivers results under tough circumstances and focuses on key goals during setbacks. Job Type & Location This is a Permanent position based out of Chicago, IL. Pay and Benefits The pay range for this position is $136,000.00 - $204,000.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. - Medical, Dental, and Vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life and AD&D for employee and dependents) - Short and Long-Term Disability - Health Spending Account (HSA) - Transportation Benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Jun 12, 2026.