Get the chrome extension Agentic Solutions Architect
AHEAD
We are hiring an Agentic Solutions Architect to design production-grade agentic solutions on our internal platform across multiple delivery squads. This role connects business needs, product intent, and engineering execution: you will understand the problem to solve, shape viable options, make and communicate tradeoffs, be hands on keyboard coding, manage a team of engineers, and guide squads toward secure, observable, reusable, and supportable outcomes.
You will architect across several squads rather than serving as the architect for a single use case. You will partner with Product, Program, Tech Leads, engineers, security, and business stakeholders to ensure solution architectures align with the platform standards and broader engineering strategy.
What You'll Do
Partner with team leadership and business stakeholders to understand goals, workflows, users, constraints, and success measures.
Help determine whether an agentic solution is appropriate, or whether a deterministic workflow, existing capability, or no-AI solution is better.
Be able to challenge the status quo and look for simplicity, scalability, and staged solutions that deliver incremental value when needed.
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 within a larger delivery organization.
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 the division of responsibility between agents, deterministic code, tools, and platform services.
Identify required systems, data sources, outputs, APIs, integrations, tools, and MCP capabilities.Work with partners to ensure dependencies are accounted for and managed across the portfolio of solutions in the role’s purview.
Produce architecture diagrams, decision records, implementation guidance, acceptance criteria, and nonfunctional requirements.
Manage cross-squad dependencies, technical debt, duplicate capabilities, and opportunities for reusable patterns, templates, connectors, and reference implementations.
Collaborate with delivery teams to translate architecture into work packages, estimates, quality criteria, and delivery plans.
Be hands on keyboard to guide and work with the teams and understand solutions to a granular level.
Apply architecture standards, approval controls, guardrails, and governance requirements throughout delivery.
Work with leadership to maintain solution architecture across teams 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 executing across multiple small, focused product squads.
What You'll Bring
AWS and cloud-hosted foundation models or agent platforms, such as Amazon Bedrock or AgentCore, or equivalent technologies.
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.
Experience with enterprise SaaS and business systems such as Salesforce, ServiceNow, Microsoft 365, SharePoint, or similar platforms.
Establishing reusable architecture standards, reference architectures, developer patterns, or platform governance.
Leading architecture reviews involving security, compliance, privacy, or production risk.
Relevant cloud, security, AI, or architecture certifications. Certifications are helpful but are not a substitute for demonstrated production experience.
Experience coordinating and managing the work of engineers against a timeline.
Required experience
Preferred experience
What Success Looks Like
Multiple squads can move independently while following coherent architecture patterns and shared platform standards.
Business stakeholders understand solution options, key tradeoffs, and expected outcomes before significant implementation investment.
Each solution has clear boundaries, documented decisions, nonfunctional requirements, security controls, operational ownership, and a credible path to production.
Reusable capabilities are adopted across squads instead of repeatedly rebuilt as bespoke solutions where possible.
Risks, dependencies, exceptions, and technical debt are visible early and actively managed.
Solutions deliver measurable business value while meeting expectations for quality, safety, reliability, observability, and cost.
Squad leaders share a clear view of how use-case architecture supports platform engineering goals.
Originally posted on Himalayas
Lead Solutions Architect, AI Build & Delivery (Remote, Any Location, US)
Foundever
About Foundever:
Foundever™ is a global leader in the customer experience (CX) industry. With 170,000 associates across the globe, we are the team behind the best experiences for +750 of the world’s leading and digital-first brands. Our innovative CX solutions, technology and expertise are designed to support the operational needs of our clients and deliver a seamless experience to customers in the moments that matter.
Job Summary
We are building an AI Professional Services practice from the ground up. We need a technically savy Lead Architect who can own the build end-to-end: from client brief to working prototype, from prototype to production, and from solo contributor to the technical anchor of a growing team.
This is a rare founding opportunity. You will personally ship the first solutions, establish what great AI delivery looks like at Foundever, and grow into a Tech Lead role as the practice scales. You will work closely with Sales, Product, and client stakeholders — bringing engineering credibility and realistic delivery judgment to every engagement.
WHAT YOU'LL DO
1. Client Delivery & Technical Build
- Be the primary builder in every early client engagement — take a scoped brief to a working prototype within days, not weeks
- Design and deliver tailored AI solutions using LLMs, agents, RAG pipelines, and AI-assisted development workflows — from discovery through go-live
- Build live demos and proof-of-concepts that directly support deal closure, working alongside commercial stakeholders
- Own technical quality across all solutions: security, scalability, maintainability, and production readiness
- Lead the transition of delivered solutions to production — including monitoring, cost control, reliability, and support handoff
- Apply responsible AI delivery standards: data privacy, model selection, prompt and version management, and safeguards where required
2. Commercial & Scoping Judgment
- Assess client needs and determine the best solution path: EverSuite capability, off-the-shelf tooling, or custom AI build
- Estimate build costs with precision — time, infrastructure, tooling, and ongoing maintenance
- Join client scoping sessions and technical discovery calls, bringing engineering credibility and realistic timelines
- Flag reusable solution patterns that can evolve into packaged service offerings
- Partner with Sales to scope, price, and validate new services opportunities from a technical standpoint
3. Product Feedback Loop
- Identify recurring custom client requests that signal mid-term product opportunities
- Communicate technical insights clearly and actionably to Product Managers
- Define what "productizable" looks like technically — providing the feasibility foundation for roadmap decisions
- Feed client insights back into the EverSuite roadmap through structured cross-functional collaboration
4. Practice Building
- Document architecture patterns, reusable components, and build playbooks from day one
- Establish delivery methodologies and quality standards for AI implementations
- Create repeatable offerings: AI discovery workshops, rapid prototyping packages, paid pilots, and managed AI solution support
- As the team grows, step into a Tech Lead role — setting technical standards, reviewing work, and mentoring junior architects and engineers
- Define technical hiring criteria for future team members
WHAT WE'RE LOOKING FOR
Must-Haves
- 7+ years in solutions architecture, software engineering, or technical consulting — ideally in an AI, data, or SaaS context
- Strong hands-on track record building and shipping solutions — not just designing them
- Deep fluency with AI-assisted development workflows (Cursor, Copilot, Claude, v0, Replit, etc.) — you build with these tools daily
- Solid understanding of LLM application patterns: RAG, agents, prompt engineering, tool use, and fine-tuning
- Strong engineering judgment — you know when to move fast and when production readiness requires slowing down
- Ability to present your own work clearly to both technical teams and non-technical client stakeholders
- Proven ability to estimate, scope, and defend technical build decisions commercially
- Demonstrated ability to operate autonomously and lead without a fully formed team around you
Nice-to-Haves
- Background in enterprise software, cloud platforms, or AI/ML infrastructure
- Experience in a startup, scale-up, or zero-to-one environment — comfortable building without a playbook
- Familiarity with MLOps, vector databases, or AI safety considerations
- Prior experience influencing a product roadmap from field or client insights
- Exposure to P&L ownership, SOW management, or professional services revenue models
- Background in BPO, CX, or contact center technology
- Experience in regulated industries where responsible AI is non-negotiable
WHAT "AI BUILD FLUENCY" MEANS HERE
This isn't an architecture-on-paper role. We expect our Lead Architect to personally ship working software — not just produce diagrams and hand off to others. You use AI-assisted development tools as a force multiplier, not a crutch. You review AI-generated code critically, make real-time architecture decisions without committee alignment, and have a clear point of view on where these tools accelerate delivery and where they introduce risk.
You should be able to demonstrate all of the following:
- Spin up a working prototype within hours of a client brief
- Critically review AI-generated code — not just prompt and ship
- Make real-time architecture decisions without waiting for committee sign-off
- Scaffold, ship, and iterate on real solutions under commercial pressure
- Coach clients on integrating AI-assisted workflows into their development culture
- Maintain engineering rigor around security, scalability, and maintainability
Originally posted on Himalayas
Agentic Solutions Architect
AHEAD
We are hiring an Agentic Solutions Architect to design production-grade agentic solutions on our internal platform across multiple delivery squads. This role connects business needs, product intent, and engineering execution: you will understand the problem to solve, shape viable options, make and communicate tradeoffs, be hands on keyboard coding, manage a team of engineers, and guide squads toward secure, observable, reusable, and supportable outcomes.
You will architect across several squads rather than serving as the architect for a single use case. You will partner with Product, Program, Tech Leads, engineers, security, and business stakeholders to ensure solution architectures align with the platform standards and broader engineering strategy.
What You'll Do
Partner with team leadership and business stakeholders to understand goals, workflows, users, constraints, and success measures.
Help determine whether an agentic solution is appropriate, or whether a deterministic workflow, existing capability, or no-AI solution is better.
Be able to challenge the status quo and look for simplicity, scalability, and staged solutions that deliver incremental value when needed.
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 within a larger delivery organization.
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 the division of responsibility between agents, deterministic code, tools, and platform services.
Identify required systems, data sources, outputs, APIs, integrations, tools, and MCP capabilities.Work with partners to ensure dependencies are accounted for and managed across the portfolio of solutions in the role’s purview.
Produce architecture diagrams, decision records, implementation guidance, acceptance criteria, and nonfunctional requirements.
Manage cross-squad dependencies, technical debt, duplicate capabilities, and opportunities for reusable patterns, templates, connectors, and reference implementations.
Collaborate with delivery teams to translate architecture into work packages, estimates, quality criteria, and delivery plans.
Be hands on keyboard to guide and work with the teams and understand solutions to a granular level.
Apply architecture standards, approval controls, guardrails, and governance requirements throughout delivery.
Work with leadership to maintain solution architecture across teams 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 executing across multiple small, focused product squads.
What You'll Bring
AWS and cloud-hosted foundation models or agent platforms, such as Amazon Bedrock or AgentCore, or equivalent technologies.
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.
Experience with enterprise SaaS and business systems such as Salesforce, ServiceNow, Microsoft 365, SharePoint, or similar platforms.
Establishing reusable architecture standards, reference architectures, developer patterns, or platform governance.
Leading architecture reviews involving security, compliance, privacy, or production risk.
Relevant cloud, security, AI, or architecture certifications. Certifications are helpful but are not a substitute for demonstrated production experience.
Experience coordinating and managing the work of engineers against a timeline.
Required experience
Preferred experience
What Success Looks Like
Multiple squads can move independently while following coherent architecture patterns and shared platform standards.
Business stakeholders understand solution options, key tradeoffs, and expected outcomes before significant implementation investment.
Each solution has clear boundaries, documented decisions, nonfunctional requirements, security controls, operational ownership, and a credible path to production.
Reusable capabilities are adopted across squads instead of repeatedly rebuilt as bespoke solutions where possible.
Risks, dependencies, exceptions, and technical debt are visible early and actively managed.
Solutions deliver measurable business value while meeting expectations for quality, safety, reliability, observability, and cost.
Squad leaders share a clear view of how use-case architecture supports platform engineering goals.
Originally posted on Himalayas