Solutions Architect

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $160k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AHEAD

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

💰 $5.7M Venture Round - AHEAD on 2024-05

Consulting • Artificial Intelligence • Enterprise

AHEAD is a technology consulting and systems-integration firm that accelerates digital transformation by engineering integrated solutions across infrastructure, applications, data, and security. The company specializes in AI transformation and AI-enabled infrastructure, data platform and platform/workload modernization, secure and resilient architectures, operational excellence, and managed services including IT lifecycle and procurement (AHEAD Hatch) and hardware integration (AHEAD Foundry). AHEAD delivers end-to-end services from strategy and financial consulting to build and run operations, partners with major cloud and infrastructure vendors (AWS, Google Cloud, Microsoft, Cisco, Dell, VMware, NVIDIA, ServiceNow, Palo Alto Networks, Rubrik, etc. ), and serves enterprise clients across industries such as healthcare, financial services, manufacturing, retail, and public sector.

📋 Description

• Partner with team leadership and business stakeholders to understand goals, workflows, users, constraints, and success measures • Determine whether an agentic solution, deterministic workflow, existing capability, or no-AI solution is appropriate • Translate business needs into technical requirements, scope boundaries, delivery roadmaps, architectural options, measurable outcomes, and implementation plans • Explain technical implications and communicate tradeoffs across scope, cost, quality, latency, security, risk, and delivery speed • Own solution architecture for a portfolio of use cases and agentic applications delivered by several squads • Map end-to-end workflows, trigger events, human approvals, system interactions, failure paths, and operational handoffs • Define agent package structure, task graphs, orchestration patterns, and responsibilities among agents, deterministic code, tools, and platform services • Identify required systems, data sources, outputs, APIs, integrations, tools, and MCP capabilities • Manage dependencies across the portfolio of solutions • Produce architecture diagrams, decision records, implementation guidance, acceptance criteria, and nonfunctional requirements • Manage cross-squad dependencies, technical debt, duplicate capabilities, and reusable patterns, templates, connectors, and reference implementations • Collaborate with delivery teams to translate architecture into work packages, estimates, quality criteria, and delivery plans • Work hands-on with teams to understand solutions at a granular level • Apply architecture standards, approval controls, guardrails, and governance requirements • Maintain solution architecture for technical direction, engineering standards, capacity, and risk posture • Support developer onboarding and architecture education across squads • Coordinate decisions and dependencies across product, engineering, security, data, integrations, and business teams • Communicate architecture status, risks, dependencies, and tradeoffs to technical and executive audiences • Directly manage engineers across multiple small, focused product squads

🎯 Requirements

• Experience with AWS and cloud-hosted foundation models or agent platforms, such as Amazon Bedrock or AgentCore, or equivalent technologies • Proficiency in Python, TypeScript/JavaScript, REST or GraphQL APIs, event-driven systems, serverless or containerized workloads, and infrastructure as code • Significant experience in software architecture, solutions architecture, technical leadership, or a similar role designing and delivering enterprise systems • Experience architecting and shipping production AI, generative AI, agentic, conversational, or intelligent-automation solutions • Strong understanding of agentic patterns, including orchestration, tool use, RAG, model selection, prompt and policy controls, human-in-the-loop approval, state and memory, evaluation, and fallback behavior • Experience integrating enterprise systems through APIs, events, connectors, workflow engines, or MCP-style tool patterns • Strong understanding of identity, authorization, data access, privacy, auditability, and secure-by-default design • Demonstrated ability to influence multiple teams or squads without relying solely on formal authority • Excellent written and verbal communication, including the ability to explain complex architecture and tradeoffs to business stakeholders and executives • Experience creating architecture diagrams, ADRs, technical requirements, nonfunctional requirements, and implementation guidance • Preferred: experience with enterprise SaaS and business systems such as Salesforce, ServiceNow, Microsoft 365, SharePoint, or similar platforms • Preferred: establishing reusable architecture standards, reference architectures, developer patterns, or platform governance • Preferred: leading architecture reviews involving security, compliance, privacy, or production risk • Preferred: relevant cloud, security, AI, or architecture certifications • Preferred: experience coordinating and managing the work of engineers against a timeline