About This Role SAIC is looking for a hands-on Principal Engineer to lead the design, build, and delivery of AI-enabled contact center solutions on AWS. You will work at the intersection of conversational AI, enterprise IT service management, and cloud-native architecture — building solutions that transform how organizations deliver IT support to their users. This is a builder role. You will be writing code, configuring AI pipelines, and deploying integrations in production environments — not directing others to do so. You will also be building solution components that scale across multiple client engagements, creating lasting practice value beyond any single deployment. If you are currently building on Amazon Connect, AWS Bedrock, and Amazon Q — and you understand how those capabilities connect to enterprise ITSM platforms like ServiceNow — we want to talk to you. What You'll Do - Architect and deliver AI-enabled contact center solutions on AWS — from conversational AI design through ITSM integration and compliance reporting - Build and maintain conversational AI pipelines using Amazon Lex, Bedrock, and Amazon Q — grounded in enterprise IT service management vocabulary and workflow patterns - Design and implement bidirectional integrations between AWS contact center services and ServiceNow — automated ticket creation, workflow triggers, real-time agent assist, and record enrichment - Build knowledge management pipelines that keep AI grounding data current as organizational knowledge evolves — ensuring AI responses reflect accurate, up-to-date information - Implement real-time monitoring and analytics using Amazon Connect Contact Lens — interaction quality, sentiment analysis, SLA tracking, and compliance alerting - Design automated reporting pipelines that aggregate contact center, AI, and ITSM data into unified compliance and performance dashboards - Build proactive and agentic capabilities — event-driven architectures that detect and resolve issues autonomously, integrated with enterprise ITSM workflows - Develop reusable solution assets — intent libraries, integration patterns, automation frameworks, and reporting templates deployable across multiple client environments - Support client pursuits with technically accurate capability demonstrations and RFP responses The Environment You'll Work In - Federal and civilian government IT services — compliance posture and security controls matter in everything you build - ServiceNow as the primary ITSM backbone — deep integration experience is essential - Active AWS strategic partnership — you will have access to AWS partner resources, co-sell support, and roadmap visibility - Multi-client delivery model — what you build for one client should be deployable to the next - Fast-moving AI landscape — the services you work with are evolving quarterly and you are expected to keep pace What Makes This Role Different You are not maintaining someone else's architecture. You are reconstituting and modernizing a solution stack against a materially evolved AWS AI/ML service landscape — then building it into a scalable practice platform. The intent libraries you build, the knowledge pipelines you design, the integration patterns you establish — these become practice IP that compounds in value across every subsequent client deployment. You are building something that lasts. SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

• Design and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges • Implement and optimize RAG systems for production use cases • Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor. • Support presales: discovery calls, technical proposals, scoping, and client-facing demos • Own the technical direction of client engagements from discovery through delivery — the go-to authority for clients and the internal team • Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs • Build and maintain ETL/ELT workflows using modern orchestration and distributed computing tools. • Deploy ML and LLM-based solutions • Implement MLOps, LLMOps, and AgentOps practices: CI/CD, automated testing, model monitoring, and experiment tracking. • Lead architecture reviews, produce technical design documents, and contribute to standards • Mentor engineers, lead code reviews, and share knowledge across the team.

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

• Lead workshops and discovery sessions to drive alignment and decision-making. Act as a Trusted Advisor, linking solutions to business outcomes and challenging misaligned assumptions. • Design scalable Procure-to-Invoice solutions across Coupa modules. Translate technical capabilities into business value and contribute to product and thought leadership. • Lead functional design and delivery using proven methodologies. Manage risks, dependencies, and alignment across customers, partners, and internal teams. • Identify opportunities to expand adoption and scope with existing customers. Drive additional value through new use cases and SOW-driven growth. • Improve delivery frameworks and COE initiatives. Build playbooks, training, and enablement to strengthen team capability. • Mentor team members and ensure quality standards. Engage executives confidently and communicate complex ideas clearly.