Job Description

Location: Remote

Must have:

• 5+year Solutions Architect
  • • exp to own both technical delivery and client consulting on customer engagements from discovery through go live. This is a hands on, client facing role
• AWS infrastructure architecture, hands-on migrations, Terraform/CloudFormation, GenAI, client consulting, and delivery leadership.
• Experience with multiple cloud platforms (not just one)- AWS, Azure, Google Cloud
• Background in enterprise/B2B environments (understands security constraints, access request delays, sandbox vs. production)
• Lead architecture and technical delivery for GenAI and agentic engagements, including LLM based applications, AI agents, and automation workflows
• Familiarity with agent frameworks (LangChain, CrewAI, Claude Code agents, or custom)
• Strong communication
  • • US Natural Citizen considered first and among all candidates.
• LinkedIn Page

Solutions Architect, Delivery

About the Role

Colonial is hiring a Solutions Architect to own both technical delivery and client consulting on customer engagements from discovery through go live. This is a hands on, client facing role. The SA is the technical decision maker on the account, the trusted advisor the client turns to, and the person who validates what gets built before it gets built. This is not a back office architecture role. The SA leads the team internally and represents A2C externally, sitting in front of the client as often as they sit in front of the team.

A2C is an AWS Advanced Partner with GenAI Competency and Agentic AI Specialization. AI is core to how we deliver, but it sits on top of solid cloud infrastructure. Most of our engagements involve real infrastructure work, migrations, networking, security, and cost optimization, alongside the AI work. This role needs to be equally strong on both, not an AI specialist who is weak on the fundamentals.

What You Will Own

Cloud Infrastructure Architecture

• Lead architecture and technical delivery for core infrastructure work, including migrations, networking, security, and multi account AWS environments
• Make sound, defensible decisions on compute, storage, networking, and IAM design, and be able to explain the reasoning to both the team and the client
• Own infrastructure as code standards (Terraform, CloudFormation) and make sure the team is following them, not improvising
• Balance cost, performance, scalability, and maintainability on every architectural decision, not just what is fastest to ship

AI Architecture and Delivery

• Lead architecture and technical delivery for GenAI and agentic engagements, including LLM based applications, AI agents, and automation workflows
• Guide the team on responsible use of AI tools in delivery, including validating AI generated code and documentation before it goes to a client
• Recommend the right mix of AWS AI services (Bedrock, SageMaker, etc.) and third party platforms like Claude for a given customer use case
• Stay current on the AI and agentic landscape and bring that knowledge back into how we architect solutions

Discovery and Environment Validation

• Own technical discovery on new engagements, including a full audit of existing customer infrastructure and any prior project history before any build work starts
• Ask the right questions in discovery calls to surface team skill gaps early, not after something breaks
• Confirm the team understands what already exists in the customer environment before making changes to it

Technical Review and Sign Off

• Review and approve infrastructure plans (Terraform, CloudFormation, etc.) via screen share before execution, with particular scrutiny on any destructive or irreversible operations
• Review all design documents, architecture decisions, and customer facing deliverables line by line before they go out
• Require the team to be able to explain and defend every line of any AI generated code or documentation before it is run or sent to a client
• Set the standard that nothing gets executed by a junior team member without SA validation first

Client Consulting and Advisory

• Act as the client's trusted technical advisor, not just an implementer. Clients should come to you with problems before they come to you with tickets
• Lead client meetings and technical presentations directly, including with executive and non technical stakeholders
• Translate technical tradeoffs into business terms so the client can make informed decisions
• Identify opportunities to expand or extend the engagement based on what the client actually needs, and flag those to the account team
• Set and manage client expectations proactively, especially on scope, timeline, and what a POC is versus what a production build requires

Team Leadership and Communication

• Lead and mentor project engineers, including offshore team members, with hands on guidance rather than delegation and hope
• Run regular, structured reviews with the team, walking through what was built and why
• Own the relationship between the internal team and the client, making sure nothing gets to the client that hasn't been vetted
• Partner closely with PMs to flag scope risk, technical risk, and timeline risk as it comes up, not after it becomes a problem

Delivery and Budget Ownership

• Manage technical delivery within the approved budget and scope for the engagement
• Flag scope creep or out of scope requests to the PM immediately
• Own technical risk on the account and escalate early when something is off track

Crisis Management

• Act as the first line of defense when a project hits a technical or customer relationship crisis
• Stay calm, take ownership, and drive toward a fix rather than waiting for direction

What You Bring

• 5+ years of experience as an AWS Solutions Architect
• Deep, hands on AWS experience across compute, networking, storage, security, and IAM. This is a non negotiable. You need to know the fundamentals of building in the cloud cold, not just at a high level
• Real experience running infrastructure migrations end to end, from discovery through cutover
• Strong Terraform or CloudFormation skills. You should be comfortable reading and reviewing a plan line by line, not just approving one based on a summary
• Real experience architecting or delivering GenAI, LLM, or agentic AI solutions, not just familiarity with the concepts
• Experience leading distributed or offshore engineering teams, including reviewing their work directly rather than trusting it by default
• Strong customer facing communication skills. You will lead client meetings directly, including with executives, not just sit in on them
• Consulting experience or instincts. You can read a room, manage a difficult client conversation, and advise rather than just execute
• A track record of catching problems early rather than cleaning them up late
• Comfort saying no or slow down to both junior team members and to customers when something is not ready
• Budget awareness and the judgment to know when a technical decision has a cost or scope impact

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