Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Atlassian is looking for a Senior Partner Solutions Architect, reporting to the International Head of Partner Solutions. This is a remote position. To help our teams work together effectively, this role requires you to be located in India. At Atlassian, our mission is to empower customers to thrive in the digital economy by delivering innovative, enterprise-grade solutions. As a leader in enterprise platform and AI adoption, Atlassian is committed to enabling organizations to unlock the full potential of our Cloud platform by identifying and driving high-impact use cases that leverage our robust platform capabilities and cutting-edge AI technologies to solve complex business challenges. In this role, you will lead the development and implementation of tailored solutions that accelerate enterprise transformation with end customers, working closely with partners in the region to understand their customers' unique needs, design scalable architectures, and champion the adoption of AI-driven workflows and automation. Your expertise will guide partners and customers through every stage of their journey, from discovery and assessment to successful delivery of complex transformation projects, ensuring they realize measurable value from Atlassian's platform and AI investments. Your future team Our Partner Solutions team brings together experts with deep experience in Cloud Acceleration & Upgrades, Solution Design, and Architecture. With a strong focus on building partner Enterprise cloud capabilities, we help drive successful cloud transformations by providing technical expertise, strategic guidance, and best-in-class solutions to support seamless migrations and enterprise adoption. This is a unique opportunity to help shape the future of Atlassian's Partner ecosystem. If you are passionate about technology, innovation, strategy, and driving business impact, this could be the perfect role for you. In this role, you will drive digital transformation and AI initiatives, leveraging your expertise in product, consulting, and sales. You'll work closely with partners and stakeholders in a matrix environment, articulate the value and technical benefits of SaaS platforms, and guide customers through secure cloud migrations and transformations. You'll also develop deep knowledge of the Atlassian platform, becoming a subject matter expert to support customer success. What you'll do - Lead Partner capability strategy, across the India market in collaboration with Global Cloud Leaders, Solution Strategists, Customer support, Partner & Alliances, and Sales to grow and accelerate AI-powered platform solutions. - Lead India channel capability efforts focused on Enterprise cloud and AI market success. - Collaborate with Atlassian Partners to create packaged implementation platform services, solutions, and GTM strategy. - Conduct Enterprise cloud & AI capability, technical, and practice workshops with Partners. - Partner with enterprise sales, to educate on partner capabilities and optimize the co-selling motion. - Lead and collaborate across Atlassian, to build and deliver a coordinated capability model. - Focus on and lead cloud thought leadership programs. Your background - Experienced in product, consulting, and sales for digital transformation across different markets. - Strong business acumen with consultative selling skills. - Proven success in building effective internal and external partnerships. - In-depth understanding of SaaS platform benefits and underlying technologies. - Broad knowledge of cloud and AI technologies, with the ability to dive deep when needed. - Collaborative experience working with partners/GSIs. - Willingness to become an Atlassian product subject matter expert. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .

Role Description We are seeking an experienced AI Solutions Architect to design and deliver artificial intelligence, machine learning, and generative AI solutions for health plan clients. This role will partner with payer executives, data leaders, and engineering teams to translate business challenges into scalable AI solutions. - Design end-to-end AI and generative AI solutions for health plan use cases, including architecture, data flows, integration patterns, model selection, governance, security, and deployment approach. - Partner with health plan stakeholders to identify high-value AI opportunities, define business outcomes, assess feasibility, and shape implementation roadmaps. - Lead solutioning for payer-specific domains such as claims, enrollment, benefits, prior authorization, medical management, provider data, quality measures, risk adjustment, member services, and regulatory reporting. - Develop reference architectures using cloud platforms, data lakes, warehouses, MLOps pipelines, APIs, workflow tools, and enterprise integration patterns. - Guide teams on applying large language models, retrieval-augmented generation, predictive analytics, natural language processing, intelligent automation, and decision support in healthcare settings. - Collaborate with data scientists, engineers, clinicians, compliance teams, security architects, and delivery leaders to move concepts from prototype to production. - Define responsible AI controls, including model monitoring, explainability, human-in-the-loop review, bias assessment, auditability, privacy, and regulatory compliance. - Support pre-sales and client advisory activities, including solution presentations, proposals, estimates, demos, workshops, and executive briefings. - Evaluate vendor platforms and AI tools across cloud, payer technology, data management, workflow automation, and clinical operations ecosystems. - Create reusable assets, including solution blueprints, architecture patterns, implementation playbooks, data requirements, and governance frameworks. - Strengthen alliances with key partners (Epic, Oracle Health, Microsoft, AWS, ServiceNow, cybersecurity vendors, Google, Leading AI players). - Build and mentor a high-performing team of AI leaders. - Develop sales collateral for all solutions and services catering to healthcare payers. Qualifications - Bachelor’s degree in computer science, information systems, engineering, data science, healthcare informatics, or a related field. - 8+ years of experience in technology architecture, data architecture, analytics, AI/ML, or enterprise solution delivery. - 4+ years of experience supporting health plans, payers, managed care organizations, or healthcare administrative platforms. - Hands-on experience designing AI, machine learning, generative AI, analytics, or automation solutions in production environments. - Strong understanding of health plan business processes, including claims, membership, provider, utilization management, care management, quality, risk adjustment, and customer service. - Experience with healthcare data standards and regulations, such as HIPAA, FHIR, HL7, X12 EDI, CMS interoperability requirements, and payer data exchange. - Experience with major cloud platforms such as AWS, Azure, or Google Cloud, including data, AI, security, and integration services. - Familiarity with modern AI patterns such as RAG, vector databases, prompt engineering, model evaluation, MLOps, LLMOps, and AI governance. - Ability to communicate complex technical concepts to executive, clinical, operational, and technical audiences. - Strong consulting, facilitation, problem-solving, and stakeholder management skills. Requirements - 8+ years of experience in designing and developing AI/ML solutions. - 4+ years of experience in healthcare Payer technology, consulting, or systems integration. Benefits - Medical, dental, and vision insurance. - Flexible spending or health savings account. - Life and AD&D insurance. - Short and long term disability coverage. - Paid time off. - Employee assistance. - Participation in a 401k program with company match. - Additional voluntary or legally-required benefits.

Role Description This is the most senior technical role inside a HubSpot partner agency. As a Solutions Architect, you own the design — not just the execution. You are the person in the room during pre-sales and discovery who shapes how a client's entire HubSpot ecosystem will be built before a single workflow is created. You work across every Hub, every integration, and every business process, producing the architecture that the rest of the delivery team builds against. Partner agencies at the Elite and Diamond level are winning increasingly complex, enterprise-grade engagements and need someone who can stand in front of a CTO or VP of RevOps, earn their trust immediately, and design a solution that holds up at scale. This role is critically scarce across the HubSpot ecosystem and commands the highest compensation in the partner space. What You'll Do - Lead the architecture and solution design phase of complex HubSpot engagements — defining data models, integration patterns, Hub configurations, and system boundaries before implementation begins. - Facilitate client discovery sessions and workshops to understand current-state technology stacks, business processes, and revenue operations goals. - Produce solution architecture documentation including process maps, data flow diagrams, integration schematics, and technical Statements of Work that the delivery team executes against. - Serve as the technical pre-sales resource — joining prospect conversations to assess feasibility, scope complexity, and provide credible technical positioning. - Define and enforce architecture standards across the delivery team, ensuring solutions are scalable, maintainable, and aligned to HubSpot best practices. - Own the architectural design across all relevant HubSpot Hubs — Marketing Hub, Sales Hub, Service Hub, Operations Hub, and Content Hub — for each engagement. - Translate complex business requirements into clear, actionable technical blueprints that non-technical stakeholders can understand and sign off on. - Identify integration requirements and design patterns for connecting HubSpot to the client's broader tech stack — ERPs, data warehouses, marketing tools, and custom systems. - Serve as the senior escalation point for the delivery team on architectural decisions, technical blockers, and scope changes mid-engagement. - Contribute to practice development — documenting repeatable frameworks, methodology improvements, and architectural playbooks that improve delivery quality across the firm. Qualifications - 7+ years of hands-on HubSpot experience across multiple client environments — agency or consultancy background required; in-house only experience is not a fit for this role. - Demonstrated depth across the full HubSpot platform — must have real delivery experience in at least 3 of the 5 Hubs (Marketing, Sales, Service, Operations, Content). - Proven ability to design and document complex CRM architectures — custom objects, data schema, lifecycle frameworks, integration patterns, and automation logic — before implementation begins. - Experience leading client-facing discovery workshops and architecture reviews with senior technical and business stakeholders. - Strong understanding of RevOps principles: full-funnel pipeline design, lifecycle stage management, attribution modeling, and revenue reporting architecture. - Experience designing integrations between HubSpot and enterprise systems — must understand API logic, sync behavior, data modeling, and conflict resolution. - Proficiency with architecture diagramming tools such as Lucidchart, Miro, or equivalent — solution documentation is a core deliverable of this role. - Ability to operate independently across multiple concurrent engagements with minimal oversight. - HubSpot Solutions Architecture certification or equivalent depth strongly preferred. Nice to Have - Experience in a pre-sales or solutions engineering capacity — comfortable joining prospect calls and scoping engagements before a contract is signed. - Background in Salesforce architecture or implementation — specifically valuable for firms running Salesforce-to-HubSpot migration practices. - Familiarity with enterprise data infrastructure — data warehouses, reverse ETL tools such as Hightouch or Census, and CDP platforms. - Experience building or contributing to delivery methodology, playbooks, or architectural standards within a consulting firm. - Exposure to HubSpot's AI product suite — Breeze Copilot, Customer Agent, Prospecting Agent — and the implementation requirements they create. - Industry depth in SaaS, financial services, healthcare, or private equity portfolio company environments.

Role Description Leidos is seeking an experienced Solutions Architect to join our DoD Enterprise IT Modernization (DEIM) team supporting a large-scale digital modernization program critical to the Defense Information Systems Agency (DISA) and DoD Fourth Estate agencies. The Principal Solutions Architect works closely with Leidos and Government technical leadership to drive innovation, growth, and efficiency across the portfolio. Clearance: Active DoD Secret clearance required. U.S. Citizen required. 100% Remote Work - Candidate must be willing to travel to our Reston, VA headquarters on an as-needed basis for key meetings and events. Primary Responsibilities: - Support the DEIM Chief Engineer in identifying service gaps and improvement areas, and drive continual innovation to evolve DoDNet against current and future requirements. - Identify and assess opportunities to improve DEIM, then lead the analysis of alternatives and proof-of-concept development that establishes dedicated projects to implement approved improvements. Target areas include: - Standardizing, automating, and streamlining site surveys and migrations so they are repeatable, flexible, and efficient. - Expanding automation to reduce staffing demand, lower the risk of human error, and free staff for higher-complexity work. - Establishing open design principles that avoid vendor lock-in and minimize custom configuration. - Incorporating emerging technologies that strengthen cybersecurity, reduce total cost, and improve the end-user experience. - Partner with project teams to keep execution aligned to the intent of each approved improvement. - Conduct initial feasibility assessments of candidate initiatives, followed by detailed analysis of alternatives. - Document and present analysis results to Leidos and Government stakeholders through the engineering review boards. - Oversee proofs of concept, narrowly scoped efforts of three months or less that deliver demonstrable, measurable insight into a candidate improvement. - Draft detailed project plans covering technical approach, cost, schedule, and risk for full implementation. Qualifications - BS degree and 12+ years of relevant experience in enterprise infrastructure and solutions architecture, including cloud and on-premise virtualized environments. Specific experience, education, and training may be considered in lieu of degree. - 8+ years architecting enterprise workloads on AWS or Azure, including architecture, deployment, and optimization of enterprise workloads. - Active DoD Secret clearance required. - Active DoD 8570 IAT Level II certification (CompTIA Security+ ce or equivalent) required at time of hire. - Experience designing secure, scalable, and resilient on-premise and cloud-based virtualized infrastructures. Requirements - Demonstrated ability to: - Design secure, scalable, and resilient on-premise and cloud-based virtualized infrastructures. - Lead the planning and execution of enterprise application and infrastructure migrations, including on-premise to cloud transitions. - Automate infrastructure and operational tasks with Python or PowerShell in a production environment. - Architect and manage enterprise identity and directory services at scale, including Entra ID and LDAP. - Work across enterprise network infrastructure, including Cisco and Aruba technologies, with network access control using Cisco ISE or Aruba ClearPass. - Produce architecture artifacts and present designs to both executive leadership and technical review boards. - Drive analysis of alternatives to evaluate and recommend technologies against performance, scalability, security, and cost criteria. - Operate in a DevSecOps environment of comparable scale and complexity. - Communicate effectively, in writing and verbally, across all levels of an organization. Preferred Qualifications - Experience designing, deploying, and maintaining IT infrastructures for DISA or other DoD organizations. - Hands-on experience with Infoblox DDI (DNS, DHCP, IPAM). - DoD 8570 IASAE Level II or higher certification. - Experience with infrastructure-as-code and modern automation tooling in a regulated environment. Pay Range Pay Range $131,300.00 - $237,350.00. The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.