Solutions Architect, you.com
$170-210k
AWS
Docker
Kubernetes
GCP
Python
Java
Tensorflow
C++
Azure
PyTorch
Mid and Senior level
Remote from US
AI search infrastructure for enterprises
Open for applications
AI search infrastructure for enterprises
201-500 employees
B2BArtificial IntelligenceProductivityPrivacyWeb 3.0
Open for applications
$170-210k
AWS
Docker
Kubernetes
GCP
Python
Java
Tensorflow
C++
Azure
PyTorch
Mid and Senior level
Remote from US
201-500 employees
B2BArtificial IntelligenceProductivityPrivacyWeb 3.0
Company mission
To help people move faster, think deeper, and do more.
Role
Who you are
- This position requires a blend of technical depth, process rigor, and a user-centric mindset, as well as the ability to communicate complex concepts to both technical and non-technical stakeholders
- Deep expertise in designing and implementing enterprise SaaS and AI solutions, with a strong understanding of cloud platforms (AWS, Azure, GCP), data engineering, and machine learning frameworks (e.g., TensorFlow, PyTorch)
- Proficiency in programming languages such as Python, Java, or C++, and experience with modern DevOps/MLOps practices (Docker, Kubernetes, CI/CD)
- Demonstrated ability to architect solutions that balance technical, business, and user experience requirements
- Proven experience leading solution discovery, detailed design, and validation processes in complex enterprise environments
- Strong organizational and time management skills, with the ability to manage multiple concurrent projects and competing priorities
- Exceptional communication and interpersonal skills, with the ability to engage and influence both technical and non-technical audiences
- Experience building trusted relationships with customers and internal teams, and navigating challenging conversations to drive consensus
- Strong analytical and problem-solving skills, with a track record of delivering high-quality solutions under tight deadlines
- Innovative mindset, with a passion for continuous learning and staying current with evolving technologies and industry trends
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
- Relevant certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Professional Cloud Architect, or AI/ML certifications) are highly desirable
- This role is ideal for a strategic, hands-on architect who thrives at the intersection of technology, process, and user experience, and who is passionate about delivering transformative AI solutions for enterprise customers
What the job involves
- We are seeking a Delivery Solution Architect to lead the design, delivery, and validation of enterprise SaaS AI solutions for our customers
- In this role, you will be responsible for architecting end-to-end solutions that balance technical excellence, usability, and business value
- You will guide customers and internal teams through the entire solution lifecycle—from discovery and detailed design to implementation and solution validation—ensuring that our offerings are robust, scalable, and deliver exceptional user experiences
- Lead discovery workshops with customers and stakeholders to elicit business, functional, and technical requirements, ensuring a deep understanding of customer objectives and constraints
- Translate business needs into comprehensive solution architectures, including process flows, technical blueprints, and user journey maps
- Collaborate with UX/UI designers to ensure that usability and user experience are integral to the solution design, supporting seamless and intuitive interactions
- Develop detailed technical designs, including system integrations, data flows, and security models, ensuring alignment with enterprise architecture standards
- Serve as the technical authority throughout the project lifecycle, providing guidance on architectural decisions, technology selection, and best practices
- Oversee the implementation of solutions, working closely with engineering, product, and QA teams to ensure fidelity to the design and timely delivery
- Lead solution validation activities, including technical feasibility assessments, performance testing, and user acceptance testing, to ensure solutions meet business and technical requirements
- Proactively identify and mitigate technical risks, ensuring solutions are scalable, secure, and maintainable
- Define and document solution delivery processes, ensuring repeatability, quality, and continuous improvement across projects
- Track project milestones, deliverables, and dependencies, providing regular updates to stakeholders and escalating issues as needed
- Support resource allocation and coordination, ensuring the right mix of technical and business expertise is applied to each initiative
- Act as a trusted advisor to customers, building strong relationships and setting clear expectations regarding solution scope, timelines, and deliverables
- Partner with sales, customer success, and field engineering teams to accelerate adoption and drive impactful business outcomes
- Provide feedback to product and engineering teams based on customer insights and solution performance, influencing product enhancements and roadmap priorities
- Deliver training and enablement sessions to customers and internal teams, ensuring effective adoption and long-term success with our solutions
- Develop and maintain solution documentation, architectural artifacts, and best practice guides to support ongoing customer success
- What Success Looks Like:
- Solutions are delivered on time, within scope, and exceed customer expectations for usability, performance, and business value
- Customers achieve their business objectives and realize measurable value from our SaaS AI solutions
- You are recognized as a trusted technical advisor and a go-to resource for solution architecture and delivery excellence
- Your work drives continuous improvement in our delivery processes and influences product and service enhancements
- You foster a culture of innovation, collaboration, and customer-centricity across teams
Our take
The pressure for enterprises to adopt AI is mounting, but even with impressive advancements to the technology it can be difficult to implement effectively. Foundational models fail to meet the needs of enterprises, which require something they can more easily customise.
This is what you.com recognises and addresses, supplying solutions to empower its clients to build the artificial intelligence that best serves them. The company's enterprise AI product, combined with search and agent APIs and consulting, enables each business to adapt AI intelligently to its industry and aims.
Its a valuable proposition that has not gone unnoticed by the industry, with you.com raising a substantial amount of funding in 2025. This will be used to "build the infrastructure for the agentic era", as the company aims to support its clients into this next age of AI-empowered operations.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Top investors
33% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Sep 2025
$100m
SERIES C
Jun 2024
$50m
SERIES B
Total funding: $197.9m
Company benefits
- A remote-first work environment with hubs in California, NYC, and Canada that offer monthly in-person gatherings
- Unlimited PTO with 11 U.S. holidays observed and a week shutdown in December to rest and recharge
- Competitive health insurance plan, where 100% of the policyholder is covered and 75% for dependents
- 12 weeks of paid paternity leave in the US; additional time off is also considered
- 401k program, 3% match coming January 2025
- $500 work-from-home stipend to be used up to a year of your start date
- $1,200 / year Health & Wellness Allowance to support your personal goals
- In-person coworking weeks 1 to 2 times a year
- Chance to collaborate with a team at the forefront of AI research
Company HQ
SoMa, San Francisco, CA
Leadership
Richard Socher
(Co-Founder & CEO)Experience as Chief Scientist of EVP for Salesforce from 2016 to 2020. Founder of AIX ventures since 2021.
Bryan McCann
(Co-Founder & CTO)Experience as a Course Assistant at Stanford University from 2014 to 2016. Lead Research Scientist for Salesforce from 2016 to 2020.
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