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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff AWS Solution Architecture Consultant - **Company:** Ippon Technologies - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Computing, Cloud Engineering, Continuous Delivery, Continuous Integration, Data Infrastructure, DevOps, Data Intelligence, Software Architecture, Systems Development Life Cycle, Software Engineering, Strategies of Testing, Software Organization, Retrieval-Augmented Generation, Large Language Models, Snowflake, Agentic-AI, Information Technology, Api Design, Domain Driven Design, Human in the Loop - **Published:** October 16, 2026 - **Apply:** https://www.thejobnetwork.com/job/fd073c3a-9181-4ea3-bae0-b41391427259/staff-aws-solution-architecture-consultant ## About the Role * 5+ years of consulting experience * 5+ years of experience building, managing, coaching, and growing high-performing technical teams. * 5+ years of experience with product development and product-oriented ways of working. * 7+ years of experience and deep understanding of modern software development practices, including software architecture, software craft, DevOps, CI/CD, testing strategies, and cloud-native delivery. * Strong working knowledge of agile delivery practices, with the judgment to adapt methods to fit client context rather than applying process mechanically. * Practical, hands-on experience engineering LLM-enabled applications or agentic systems, including evaluation and production considerations, and using AI-assisted development with appropriate engineering controls. * Ability to explain AI capabilities and failure modes credibly, and collaborate across application, platform, cloud, data, and security disciplines. * 7+ years of experience in financial services, banking, insurance, capital markets, or related regulated industries * Excellent organizational skills, including the ability to manage people, priorities, offerings, delivery quality, and practice operations simultaneously. * Strong client-facing communication skills, including the ability to engage credibly with executives, product leaders, engineering leaders, architects, and delivery teams. * Experience supporting business development, proposal creation, solution design, or account growth in a consulting environment. * Ability to travel up to 20% of the time, * Bachelor's degree in Computer Science or a related field * Experience leading a consulting practice, capability, center of excellence, or large technology delivery organization. * Experience using DORA metrics, SPACE, flow metrics, or other engineering effectiveness frameworks to improve delivery performance. * Experience developing engineering training, technical career paths, mentoring programs, or communities of practice that build practical AI capability. * Familiarity with AWS, Snowflake, Anthropic, modern data platforms, and cloud-native architecture. * Experience with modernization programs (particularly AWS MAP), legacy system transformation, platform engineering, or large-scale digital product delivery. * Experience creating market-facing offerings, white papers, executive presentations, workshops, and assessment frameworks. * Understanding of regulatory requirements and compliance standards (e.g., GDPR, HIPAA, NIST, ISO) impacting AI and software within the Financial Services and Insurance industries. * Knowledge of IT strategy and management * Demonstrated experience of presenting talks at conferences, publishing white papers, and public speaking. ## Description We are seeking a Staff Cloud Engineering Consultant (internal title) who will be instrumental in guiding clients through their cloud migration, modernization, and transformation journey, leveraging the power of AWS, along with complementary ISVs like Snowflake, and AI. This role serves as an Advanced Individual Contributor within the Cloud organization, providing senior-level technical depth across pre-sales, cloud migration strategy, modernization, and emerging GenAI/Bedrock opportunities. It requires a balance of deep technical expertise, strategic business insight, and consulting prowess to help clients innovate, optimize, and transform their business operations through modern cloud technologies and AI-driven solutions. The Staff Cloud Engineering Consultant will partner with sales, practice leadership, and delivery teams to shape complex client solutions, support enterprise migration initiatives, and strengthen Ippon's market credibility through deep technical expertise. Roles and Responsibilities Roles and Responsibilities: Practice Leadership & Team Development * Lead and grow the practice, including its people, skill mix, offerings, delivery standards, and market positioning. Set priorities for recruiting, utilization, and commercial performance with the leadership team. * Recruit, develop, and retain consultants, engineers, architects, product leaders, and delivery practitioners who combine technical depth with product thinking, customer empathy, clear communication, and comfort with ambiguity. * Build a pipeline of technical leaders capable of independently leading complex, ambiguous customer engagements. * Create an environment in which engineers can experiment and move quickly while remaining accountable for quality and outcomes. * Build a culture grounded in software craft, product thinking, architectural discipline, and practical AI adoption, with an emphasis on psychological safety, accountability, and measurable improvement. * Define AI engineering development paths through training, mentoring, and hands-on learning. Grow senior engineers and architects who can independently lead complex engagements. * Continuously improve consulting methods, AI Skills, delivery playbooks, and technical standards with Customer Success and Senior Leadership. Delivery Excellence * Provide senior oversight across engagements in software and product engineering, AI-enabled delivery, modernization, and architecture. Ensure solutions are maintainable, secure, scalable, and aligned to client outcomes. * Champion modern engineering practices, including Domain-Driven Design, Event Storming, API design, event-driven and microservice architectures where appropriate, automated testing, DevOps, continuous delivery, and observability. Drive improvement using DORA, flow, and business-outcome metrics. * Coach cross-functional client teams across product, engineering, architecture, security, and compliance toward sustainable delivery models that balance speed, governance, quality, and business value. * With Ippon's Intelligent Data & Cloud team, define how application teams use shared capabilities for deployment, security, observability, and operations. AI Leadership * With the CTO, shape APA's internal and external approach to applied AI across product engineering, software development, architecture, and delivery transformation. Separate durable capabilities from short-lived trends. * Help clients identify and pursue practical AI use cases that improve delivery speed, product quality, customer experience, or operational efficiency. * Build team capability in LLM applications, agentic systems, RAG, tool integration, evaluation, observability, and human-in-the-loop design. Engineer for AI failure modes, security, privacy, reliability, and client governance. * Establish repeatable patterns for moving AI prototypes into production and applying AI across the SDLC, with testing, evaluation, monitoring, and human review. Platform & Partner Strategy * Evaluate partner technologies that improve delivery or meet sustained client demand. Working with Ippon's data and cloud leaders, optimize how selected partners such as Anthropic, AWS, and Snowflake are used in delivery and offerings. Client & Thought Leadership * Support sales pursuits, proposals, and executive conversations. Act as a trusted advisor to senior stakeholders, translating ambiguous needs into clear engagement strategies, delivery plans, and measurable outcomes. * Define and package APA offerings across AI-enabled product engineering, software modernization, delivery effectiveness, and engineering excellence. * Build brand awareness through events, speaking engagements, blogs, white papers, and client success stories.