Principal Solution Architect, Partner Engineering Remote Duties: Own the technical relationship between Databricks and Qlik in managing critical requirements of the partnership. Align the Qlik product roadmap with Databricks to create differentiated joint solutions and offerings, and articulate joint vision. Deliver compelling technical enablement sessions to business and technical audiences including partner architects, to our technical alliances and regional/global system integrators. Create technical content (demos, whitepapers, solution briefs, blog posts), which demonstrate thought leadership and showcase solution value. Develop reference architectures, technical diagrams, and reusable patterns which showcase integrated use cases. Work closely with Qlik product and engineering teams to provide field feedback. Drive adoption by promoting awareness of the joint value proposition with extended technology partners such as AWS and Snowflake. Support customer opportunities by assisting in proof of concepts. Collaborate cross functionally with marketing in delivering webinars, conference assets (speaking sessions and demos), and other collateral. Deliver hands-on technical product enablement and workshops to large audiences. $145-200K/year. Work remotely. Requirements: Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or related field. 5 years of progressively responsible experience in each of the following as Solution Architect, Presales Engineering, or related role: 1. Designing and implementing integrated data and analytics solutions with technology partners such as Databricks, including demonstrations, joint reference architectures, and external collateral; 2. Data integration and replication tools such as Qlik Replicate, Qlik Compose, or Qlik Cloud Data Integration (QCDI); 3. Hands-on development of applications and dashboards with QlikView and Qlik Sense, and Python to facilitate technical demonstrations; 4. Designing database deployments such as traditional, relational, NoSQL document stores, or graph-based stores; 5. Leading presales cycles with Qlik Data Catalog in building glossaries, showing data usage analysis, and demonstrating lineage capabilities, including use of Korn Ferry sales methodologies for opportunity discovery and qualification; 6. Project management of joint solution development, including planning, collaboration & coordination between cross-functional teams, timeline management, and risk management. At least 1 certification each in Qlik Data Analytics and Qlik Data Integration.

Overview Microsoft is a destination for passionate innovators who collaborate, envision what’s possible, and accelerate their careers in ways not achievable elsewhere. We operate in a cloud‑enabled world driven by openness, innovation, and bold thinking - where possibilities continue to expand. The Business Applications engineering organization is scaling the FastTrack program to meet growing customer demand. FastTrack supports strategic customers throughout their journey to the Dynamics 365, with a growing emphasis on AI‑powered transformation. Our mission is to help customers realize the full value of their investment by driving meaningful business outcomes, accelerating end‑user adoption, and embedding AI into their core operations. We are seeking a Solution Architect who is passionate about AI and experienced in guiding large enterprise customers through complex, transformational initiatives. This role focuses on working with strategic accounts to shape AI strategy, enable intelligent experiences with Copilot and agents, and help customers modernize at scale using Dynamics 365 and the Microsoft cloud. Solution Architects partner closely with customers, engineering, and system integrators to deliver high‑impact solutions, accelerate AI adoption, and ensure customers achieve their target business and transformation goals. What we offer - A culture that fosters continuous learning, experimentation, and growth in AI and cloud technologies. - The opportunity to work with strategic enterprise customers on AI‑driven business transformation. - Close collaboration with the engineering teams responsible for the design, development, and release of Dynamics 365 and AI capabilities. - The ability to influence product direction and help shape the future of AI‑powered enterprise applications. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities - Own and deliver the end‑to‑end FastTrack experience for customers, ensuring consistent, high‑quality engagement across strategic accounts. - Provide proactive architectural guidance to help customers avoid risks, remove technical roadblocks, and accelerate time to value. - Lead and shape AI adoption for customers, including guidance on Dynamics 365 Copilot, first‑party and custom agents, and AI‑enabled business processes. - Partner with customers to define and execute AI transformation roadmaps that align to business outcomes, responsible AI principles, and enterprise readiness. - Continuously improve the FastTrack for Dynamics 365 experience by collaborating internally to influence product capabilities, processes, and policies - while capturing actionable insights and data. - Evangelize FastTrack and Microsoft’s AI vision across field sales, engineering, support, Dynamics partners, and customers. Qualifications Required Qualifications: - Bachelor's Degree Engineering, Computer Science, Information Technology (IT), Data Analytics/Science, Artificial Intelligence (AI), or related field AND 2+ years experience in technology industry, cloud, technical support, and/or customer experience engineering OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: - Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: - Bachelor's Degree in Engineering, Computer Science, Information Technology (IT), Data Analytics/Science, Artificial Intelligence (AI), or related field AND 5+ years experience in technology industry, cloud, technical support, and/or customer experience engineering OR equivalent experience. - 3+ year(s) of customer facing experience. - Experience with Dynamics 365, including customization or extension of business applications - Familiarity with the Microsoft sales process and tools - Experience implementing cloud-based solutions, ideally within Microsoft technologies - Working knowledge of Agile or Scrum software development methodologies - Experience designing or implementing solutions on Microsoft Azure #BICJOBS #MCSJobs Customer Experience Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit of thinking in a cloud-enabled world. The mission of Learning Product Team in Worldwide Learning (WWL) - is to develop world-class, innovative Skilling Products & Experiences that inspire customers, partners, MCAPS sellers, and future generations to achieve more by skilling, upskilling, and reskilling, thereby reaching 100M+ learners. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. As a Principal AI Architect, you will define and drive the end-to-end Cloud + AI + Agentic architecture for next-generation WWL skilling experiences and platforms. You will partner with engineering and product leadership to deliver secure, reliable, scalable, cost-effective AI systems and establish a roadmap for Agentic-era learning experiences spanning consumer and commercial scenarios. This is a high-impact architecture leadership role requiring broad technical depth, cross-team influence, and solid collaboration across engineering, product, data, security/compliance, and partner ecosystems—enabling others to execute at scale through shared standards, reusable patterns, and reference implementations. If you enjoy working in a collaborative and agile environment where you can apply your technical skills and creativity into a security space and thrive on addressing real world problems, we are looking for you.  Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their highly qualified contributions each day. Join us and help shape the future of the world. Responsibilities The Principal AI Architect is responsible for the following: Architecture Strategy & Roadmap (Cloud + AI + Agentic) - Own the reference architecture and technical roadmap for WWL’s AI/Agentic platform capabilities (e.g., orchestration, tools/plugins, memory, retrieval, evaluation, observability, governance). - Translate skilling business objectives into platform investments and architectural decisions, balancing speed-to-value with security, compliance, cost, and long-term maintainability. - Establish clear architectural guardrails and decision frameworks (e.g., “build vs. buy,” “Copilot Studio vs. Foundry,” “RAG vs. fine-tune,” “central vs. federated patterns”). Technical Leadership & Architectural Governance - Lead architecture/design reviews for major initiatives; drive alignment on system boundaries, contracts, dependency management, and resiliency. - Define and standardize architecture patterns (multi-tenant SaaS, event-driven architectures, secure data access, model routing, agent safety controls). - Create reusable templates, “golden paths,” and reference implementations to accelerate engineering delivery across teams and reduce fragmentation. Responsible AI, Security, Privacy, and Compliance by Design - Embed Responsible AI principles into agentic solution design (human-in-the-loop, safety mitigations, evaluation, transparency, and auditability). - Partner with security and compliance stakeholders to ensure services meet required controls and operational standards, and to drive alignment between policy intent and implementation. - Define secure patterns for prompt/data handling, secrets management, identity, and access governance for AI systems. Platform Reliability, Operability & Cost Management - Drive architecture that improves reliability, observability, incident response readiness, and cost efficiency across AI-enabled services. - Establish telemetry standards (quality, safety, latency, cost, success metrics) and ensure teams instrument consistently to enable operational excellence at scale. - Design for production: rollout/rollback strategies, evaluation gates, and operational playbooks for AI/agent releases. Cross-Org Influence & Coalition Building - Build coalitions across WWL and broader Microsoft engineering/product groups to deliver complex, large-scale initiatives; resolve long-standing misalignments; and hold stakeholders accountable for commitments. - Act as a trusted technical advisor to senior stakeholders, creating clarity, driving alignment, and enabling execution across multiple teams and disciplines. Mentorship, Technical Community, and Talent Scaling - Mentor engineers; enhance architecture quality, engineering discipline, and Responsible AI rigor. - Contribute to internal technical communities through documentation, brown bags, and reusable engineering guidance—amplifying impact through others. Other - Embody our culture and values Qualifications - Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python - OR equivalent experience. Additional or preferred qualifications - Master's Degree in Computer Science, Engineering or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python - OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python - OR equivalent experience. - 10+ experience in software engineering or solution architecture, with demonstrable success building and operating complex systems. - 10+ experience designing, implementing, and optimizing AI solutions encompassing data pipelines, model training and serving, and production MLOps. - 10 + years of full-stack development across frontend, backend, and cloud infrastructure, with a proficient command of data engineering, AI/ML systems, and deployment architectures. - 2+ project experience with NLP and LLM-based systems. - Proficient coding skills in C#, Python, JavaScript, and React. - Proven experience designing and shipping AI/ML GenAI solutions, including one or more of: - Retrieval-Augmented Generation (RAG), enterprise search, vector retrieval - LLM orchestration and agentic workflows - AI evaluation/monitoring, safety and quality measurement - Demonstrated experience architecting and delivering cloud-native, distributed systems at scale (multi-service systems, reliability, performance, and operability). - Proficient engineering fundamentals and ability to work “hands-on when needed” (prototyping/reference implementations, architectural spike investigations, debugging complex issues). - Track record of cross-team influence—driving alignment and execution across multiple disciplines and stakeholders. - Ability to communicate clearly with technical and non-technical audiences; comfort presenting senior leadership. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

• Design and maintain a scalable Managed Services portfolio, including service definitions, SLAs, and delivery models • Standardize service offerings to improve efficiency, consistency, and profitability • Lead solution architecture for complex and high-value opportunities, particularly within federal programs • Partner with sales teams to support pre-sales solutioning and federal deal strategy • Ensure alignment between proposed solutions and operational delivery capabilities • Define service design standards and govern non-standard solutions • Collaborate with vendor partners to align services with available technologies and federal requirements • Drive continuous improvement of service offerings based on market trends and customer needs • Support RFP/RFI/RFQ responses for federal opportunities • Document service architectures, workflows, and design standards