• Advise on and help maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration (Kubernetes and Linux job schedulers). • Provide consultative guidance and perform hands-on troubleshooting across the full stack—from bare metal and operating system, through the software stack, container platform, networking, and storage. • Assess customer environments and recommend optimized, production-ready Kubernetes-based container platforms integrated with enterprise-grade networking and storage solutions. • Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines to be shared with internal teams and customer stakeholders. • Support Development activities and engage in POCs/POVs to validate new features, architectures, and upgrade approaches. • Create and deliver high-quality documentation, including runbooks, onboarding materials, and best-practice guides for customers and internal teams. • Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long-term infrastructure and operations decisions.

• Recruit, hire, and develop new solutions engineers and coach them on providing technical expertise to customers through sales presentations, solution designs, demonstrations, and POVs • Partner with your Sales Leader counterparts to create a strategic GTM plan for the Eastern US region with clear deliverables, alignment with cross-functional teams, and measurable business outcomes • Be a key member of the Eastern US leadership team for Tines with ownership of all pre-sales aspects of the business for the region • Participate in success execution as both a player and a coach, performing account activities including opportunity coaching, account strategy, and technical executive sponsorship • Collaborate cross-functionally with Sales, Marketing, Customer Success, Sales Enablement, Product & Engineering, and the Partnerships teams to create a consistent and scalable customer journey • Foster an inclusive and collaborative solutions engineering environment with a culture of coaching, learning, growth, development, and feedback • Act as an escalation point for pre-sales technical issues from the field • Provide effective technical leadership and direction in customer meetings – sharing technical trends, competitive, and product information

• You'll architect and deploy AI-powered applications that solve real business problems and create operational leverage across the organization. • Designing and deploying AI agents and automation systems that improve business performance. • Building AI-powered recruiting solutions for sourcing, screening, interviewing, onboarding, and candidate engagement. • Creating intelligent workflow automation across sales, client success, operations, finance, and compliance. • Developing internal productivity tools that improve decision-making and efficiency. • Identifying manual processes that can be automated and transformed through AI. • You'll own the technical architecture behind our AI initiatives. • Writing clean, scalable, production-ready code. • Designing secure APIs and integrations across our technology ecosystem. • Building end-to-end systems leveraging LLMs, workflow orchestration platforms, databases, and third-party applications. • Conducting code reviews and establishing engineering best practices. • Ensuring solutions are secure, maintainable, and built for scale. • Evaluating emerging AI technologies, frameworks, and models. • Prototyping and testing new approaches to increase productivity and automation. • Partnering with leadership to prioritize initiatives with the highest business impact. • Staying at the forefront of AI advancements and bringing innovative solutions into production.

Role Description We are looking for a hands-on AI Solutions Architect who can identify business problems, architect solutions, and rapidly deploy AI-powered applications, automations, and workflows across the company. You will work directly with leadership and cross-functional teams to improve how we source talent, evaluate candidates, onboard clients, manage operations, support account management, and drive revenue growth. The ideal candidate is obsessed with execution, comfortable operating in ambiguity, and capable of turning ideas into working systems quickly. Build AI Products & Intelligent Workflows - Architect and deploy AI-powered applications that solve real business problems and create operational leverage across the organization. - Responsibilities include: - Designing and deploying AI agents and automation systems that improve business performance. - Building AI-powered recruiting solutions for sourcing, screening, interviewing, onboarding, and candidate engagement. - Creating intelligent workflow automation across sales, client success, operations, finance, and compliance. - Developing internal productivity tools that improve decision-making and efficiency. - Identifying manual processes that can be automated and transformed through AI. Engineer Scalable Solutions - Own the technical architecture behind our AI initiatives. - Responsibilities include: - Writing clean, scalable, production-ready code. - Designing secure APIs and integrations across our technology ecosystem. - Building end-to-end systems leveraging LLMs, workflow orchestration platforms, databases, and third-party applications. - Conducting code reviews and establishing engineering best practices. - Ensuring solutions are secure, maintainable, and built for scale. Drive AI Innovation - We're looking for someone who doesn't just implement AI—they actively push the organization forward. - Responsibilities include: - Evaluating emerging AI technologies, frameworks, and models. - Prototyping and testing new approaches to increase productivity and automation. - Partnering with leadership to prioritize initiatives with the highest business impact. - Staying at the forefront of AI advancements and bringing innovative solutions into production. Qualifications - 3+ years of experience in Software Engineering, AI Engineering, Machine Learning Engineering, or a related technical field. - Hands-on experience building AI-powered products and automation workflows. - Strong experience working with modern LLMs such as OpenAI, Claude, Gemini, or equivalent models. - Advanced proficiency with: - Python - JavaScript / TypeScript - React - Node.js - Experience designing and implementing RESTful APIs. - Strong SQL and relational database expertise. - Experience deploying and managing cloud infrastructure (AWS preferred). - Familiarity with GitHub, CI/CD pipelines, and modern software development practices. - Exceptional problem-solving abilities and systems thinking. - Strong communication skills with the ability to collaborate directly with business stakeholders. Preferred Qualifications - Experience in recruiting, staffing, HR technology, or workforce solutions. - Experience building AI agents and multi-agent systems. - Experience with platforms such as: - OpenAI - Claude - LangChain - n8n - Zapier - Make - HubSpot - Zoho - Workable - Experience integrating AI into operational and customer-facing workflows. - Previous startup or high-growth company experience. Benefits - Help build the AI foundation of a rapidly growing global company. - Work directly with leadership on high-impact initiatives. - Own projects from concept to deployment. - Influence how recruiting and workforce solutions evolve through AI. - Join a fast-moving, entrepreneurial team that values innovation and execution. - Create solutions that impact thousands of candidates, clients, and team members worldwide.