Partner Solutions Architect

The company is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by the company' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

As a Partner Solutions Architect, you own that documentation across all of our partnerships, not just AWS. You're given project and architecture details by the delivery team, and you turn them into the competency documentation each partner program requires, and into case studies you can explain and defend to a partner reviewer, to a prospect, to anyone asking "what did the company actually ship here." AI tools are fair game for drafting; the bar is on accuracy and whether it holds up under questioning. Do this well, and the natural next step is a presales architect role, taking these case studies and this partner fluency directly into prospect conversations.

What you’ll do?

• Create and maintain competency documentation across all of the company' partnerships AWS, Snowflake, Databricks, Anthropic, OpenAI  using project and architecture details provided by the delivery team.

• Produce the technical validation write-ups, architecture diagrams, and case study documentation each partner's competency and service delivery program requires.

• Build a working command of the company' case studies well enough to explain them clearly  the problem, the architecture, the outcome  to partner reviewers, prospects, or internal stakeholders.

• Use AI tools to accelerate drafting, while owning the accuracy and review-readiness of the final document.

• Keep documentation format and quality consistent across partners and engagements.

• Flag gaps in the project details you're given when they're not sufficient to produce audit-ready documentation.

• Work against fixed deadlines tied to partner program renewal and review cycles.

What we’re looking for?

• 2–3 years of experience in technical documentation, solutions architecture, or a related role touching AWS and/or modern data/AI platforms (Snowflake, Databricks, Anthropic, OpenAI).

• Working knowledge of cloud architecture concepts enough to read a design across different platforms and document it accurately.

• Strong technical writing skills; comfortable turning raw project detail into a document that reads cleanly to an external reviewer.

• Comfortable explaining technical case studies out loud, not just writing them this role grows toward customer-facing work.

• Familiarity with diagramming tools (draw.io, Lucidchart, or similar) for architecture diagrams.

• Comfortable using AI tools as part of a documentation workflow, without leaning on them for accuracy you haven't verified.

• Detail-oriented, organized, and able to hold a deadline without supervision.

Life at the company

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

• Be one step ahead
• Deliver the best
• Be bold
• Pay attention to the detail
• Enjoy the challenge
• Be curious and take action
• Take leadership
• Own it
• Deliver value
• Be collaborative

We would like you to read more details about the work culture on [link for members]

The Path to Joining the the company Team

At the company, our recruitment process is structured around three distinct stages:

Pre-Employment Assessment

A series of evaluations of your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager engages with you in multiple discussions, 30 minutes to an hour each, covering technical skills, hands-on experience, leadership potential, and communication.

HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

The company provides equal opportunities in all employment practices. We don't discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This applies to every part of the employment relationship, recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs.

Note: Please answer as many questions as possible with this application to accelerate the hiring process.