• Develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North. • Architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs. • Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions encompassing model fine-tuning, custom agents, and agent orchestration. • Support deployment and integration of large language models (LLMs) and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security. • Lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization. • Work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features.

• The Solution Architect will work within professional services to understand and solve the technological challenges associated with product build out and integration of Five9's customers. • They will be a part of short term (a few days to several weeks) development projects that require gathering a customer’s integration requirements, analyzing feasibility using available APIs, as well as designing, developing, and implementing the solution. • The candidate will be expected to interact with customers over the phone, via web conferences, and in person (with up to 15% travel required) and will often need to articulate complex technical solutions to a non-technical audience, necessitating excellent verbal and written communication skills.

• Advise the C2SET portfolio and product teams on operational realism, scenario design, and training relevance. • Work with Government operators, planners, and engineers to ensure that new capabilities, behaviors, and scenarios accurately reflect mission needs. • Support transition planning from legacy simulation constructs to modernized baselines, including recommendations on where to focus modeling effort and how to structure scenarios for exercises and test events.

• Architect end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with customer requirements and goals • Lead a team of machine learning engineers and data scientists to build AI/ML platforms, pipelines, and products that meet customer requirements and expectations • Communicate business value and ROI of AI/ML solutions to both technical and non-technical stakeholders • Mentor team members on best practices in AI/ML architecture, modeling, and technology. • Stay abreast of emerging technologies and methodologies in AI/ML to inform solution design and delivery. • Build relationships with client stakeholders to understand their long-term AI/ML goals and design roadmaps that align with business objectives. • Craft persuasive technical approaches and value propositions to drive client AI/ML initiatives forward • Identify and drive account expansion opportunities by uncovering unmet client needs and where AI/ML can add value. • Lead responses to RFIs and RFPs, crafting persuasive technical approaches and value propositions.