Associate Solutions Architect

Role Overview The Associate Solutions Engineer is an early-career technical sales role designed for individuals who are passionate about technology, particularly AI, customer problem-solving, consultative selling, and customer experience transformation. The Solutions Engineering organization serves as the technical and business advisory arm of the Go-to-Market team, helping customers envision, validate, and realize the value of Talkdesk’s platform and AI innovations. Our mission is to bridge customer business challenges with transformative technology solutions that drive measurable outcomes and help Talkdesk fulfill its mission to rid the world of bad customer experiences. As an Associate Solutions Engineer, you will support the Solutions Engineering team in helping prospective and existing customers understand how Talkdesk solutions can improve customer experience, modernize contact center operations, and accelerate business outcomes. You will work closely with experienced Solutions Engineers, Account Executives, Customer Success, Product Management, Engineering, Marketing, Value Advisory, Enterprise Architecture, AI Solutions Engineering, Partner Engineering, Proposal Management, and Demo Engineering. This is a developmental role for high-potential early talent who are eager to build expertise in cloud contact center technology, AI-powered customer experience, automation, integrations, enterprise software, and consultative selling. The ideal candidate is curious, coachable, customer-focused, technically minded, and excited to grow into a trusted technical advisor. Key Responsibilities Partner with Solutions Engineers and Account Executives to support customer discovery, product demonstrations, and technical sales activities. Learn how to understand customer business challenges, contact center operations, technical environments, and transformation goals. Assist in preparing and delivering product demonstrations that show how Talkdesk can solve customer problems, im

About the Team DoorDash is building a new category of B2B SaaS products that help restaurants manage and grow their businesses - one of the company's most strategic and high-visibility initiatives, backed directly by senior leadership. The business is one of the fastest-growing segments within DoorDash, and yet is only scratching the surface of a generational opportunity to better serve hundreds of thousands of merchants across the Americas and improve working lives in one of the country's biggest industry sectors. You will operate with the speed and autonomy of an early-stage startup, but with the resources, data, and scale of a public company. The team is small, the problems are complex, and your work will directly shape how we go to market, what we build, and how thousands of merchants grow their businesses. About the Role You’ll build, refine, and own the infrastructure and operating models that support the growth of DoorDash’s Enterprise Digital Ordering business, helping enterprise restaurant merchants transform their first-party digital experiences. As part of a key pillar within DoorDash’s Commerce Platform, you’ll work on high-impact initiatives with visibility across senior leadership, including the executive team. Within the Launch / Solutions Architect pod, you’ll partner with Product, Engineering, Integrations, Design, Merchant Operations, Analytics, Marketing, and Finance, while working directly with enterprise merchants. You’ll help build and scale a platform that brings together DoorDash products and restaurant integrations to help merchants reach and retain customers, preserve their distinct brand identity, and grow sales. What You'll Work On As a member of the DoorDash Commerce Platform Strategy & Operations (S&O) team, you will play a critical role in driving growth across our various products and services. You will be a founding member of the Product Operations function and help us build a world class ProdOps team while delivering 1st par

Leidos is looking for our next TS/SCI-cleared Elastic Search Engineer to join a high-energy team building and deploying a cutting-edge technology stack to support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. We integrate off the shelf and newly development software to sustain and enhance the TCPED platform. We leverage cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. DTP advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles. As an Elastic Search Engineer, you’ll be a member of our platform engineering team and help develop, deploy and maintain nosql databases as foundational elements of our microservice eco-system using a Kubernetes as foundational platform. You’ll also support the adoption of GitOps best practices across cross-functional engineering teams. In this fast-paced environment, you’ll collaborate closely with systems engineering, architecture, development, security, operations, and integrations teams. Work is conducted on-site at our client location in Bethesda, MD. Key Responsibilities Include: Deploy, triage, debug, and maintain production class databases like Elasticsearch and Redis Design and support database configuration management strategies across air-gapped network fabrics Partner with Systems Engineers to architect solutions for new capabilities Contribute to operational monitoring capabilities to provide proactive system notifications Contribute technical input to engineering documentati

Leidos is looking for our next TS/SCI-cleared Elastic Search Engineer to join a high-energy team building and deploying a cutting-edge technology stack to support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. We integrate off the shelf and newly development software to sustain and enhance the TCPED platform. We leverage cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. DTP advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles. As an Elastic Search Engineer, you’ll be a member of our platform engineering team and help develop, deploy and maintain nosql databases as foundational elements of our microservice eco-system using a Kubernetes as foundational platform. You’ll also support the adoption of GitOps best practices across cross-functional engineering teams. In this fast-paced environment, you’ll collaborate closely with systems engineering, architecture, development, security, operations, and integrations teams. Work is conducted on-site at our client location in Bethesda, MD. Key Responsibilities Include: Deploy, triage, debug, and maintain production class databases like Elasticsearch and Redis Design and support database configuration management strategies across air-gapped network fabrics Partner with Systems Engineers to architect solutions for new capabilities Contribute to operational monitoring capabilities to provide proactive system notifications Contribute technical input to engineering document

About the role: As an Associate Architect of our Engineering department, you will support the bridge between business needs and technical solutions on our eCommerce Platform: a React-based storefront running on Cloudflare Workers with a Salesforce Commerce Cloud (SFCC) backend. This is primarily a planning and technical guidance role, not a hands-on developer role - you'll spend most of your time on architecture, technical direction, and proof-of-concept/draft work, while delegating implementation to developers and AI agents, and overseeing execution. Reporting to the Lead Architect, who will provide direct mentorship, with additional guidance from the Director of Engineering and other senior technical voices, you will contribute technical perspectives and recommendations, help translate business requirements into system designs, and grow into a fuller architecture role. This is an ideal role for an experienced SFCC developer looking to make the move into architecture. Key responsibilities: Support business partners by researching and preparing technical and process recommendations and project estimates, under the Lead Architect's guidance. Translate business requirements into system requirements and design specifications, document requirements, and flag interface issues/concerns for review. Write high-level code for proof-of-concepts, technical drafts, and architectural spikes to validate design direction, then guide and review the developers/agents who build it out. Help establish technical standards, collaborate on design decisions, and participate in peer code/design reviews and knowledge-sharing. Support third-party integrations (payments, CMS, search, analytics/CDP, benefits/CRM) with senior support as needed, and contribute to cross-functional platform work using SFCC, Cloudflare Workers, and React. Work with technical teams to devise or modify processes to solve problems. B

Become a part of our caring community Help shape practical, responsible AI solutions that improve healthcare experiences and outcomes. Humana’s Enterprise AI organization develops safe, scalable AI solutions across our Insurance and CenterWell businesses. We bring together product managers, data scientists, engineers, policy experts, and business leaders to apply emerging technology to meaningful healthcare challenges. As Associate Director of Applied AI, you will lead teams that design, build, and deploy enterprise AI solutions, with a focus on generative AI and intelligent agents. You will connect technical strategy to business needs, guide responsible delivery in a regulated environment, and help teams turn promising ideas into measurable outcomes for members, patients, and associates. Key Responsibilities Lead and mentor teams developing production-ready AI solutions that improve healthcare delivery, member experiences, and business operations. Help define and execute the roadmap for applied AI initiatives in alignment with enterprise priorities and business needs. Guide the evaluation and adoption of machine learning, generative AI, large language models, multimodal models, and intelligent agent technologies. Oversee scalable APIs, frameworks, data pipelines, retrieval-augmented generation solutions, and agent orchestration capabilities. Partner with product, data science, engineering, architecture, security, and business teams to translate requirements into reliable solutions. Establish standards for AI evaluation, obse