AI Solutions Architect Jobs

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The Solutions Engineer (AI/ML, Pre-Sales) will work closely with strategic customers to understand their data curation needs, business challenges, and technical requirements. The role involves leading end-to-end customer proofs of concept (PoCs) that connect data curation to training behavior and evaluation outcomes, including dataset analysis, training plan design, and interpreting results. They will partner with customer machine learning teams to map data and curation strategies, design and execute evaluation plans for base and post-trained models, select appropriate benchmarks and metrics, and run model evaluations. Additionally, the engineer will produce customer-ready evaluation reports detailing methodology, metrics, baselines, ablations (e.g., curated vs raw data), conclusions, and recommendations for productionization. They must communicate technical results effectively to both ML experts and executive stakeholders, explaining tradeoffs in compute, latency, and deployment cost. Collaboration with go-to-market, engineering, and research teams is essential to deliver compelling demos, align on requirements, and incorporate customer insights into model training and product strategies. The role also includes providing technical guidance, training, and documentation to enable prospects to confidently assess the solution.

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As a Solutions Architect at Cohere, you will develop and deliver cutting-edge agentic AI solutions using Cohere’s foundation models and Agentic AI Foundry - North. You will architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs. You will collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions including model fine-tuning, custom agents, and agent orchestration. You will support the deployment and integration of large language models and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security. You will lead technical engagements such as deep dives into AI architectures, facilitate workshops, and establish best practices for agent-based AI systems and model customization. Additionally, you will work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features. You will serve as the technical relationship owner, owning the customer narrative, acting as the voice of the customer, and liaising between customers and the product team, providing guidance on best practices for using Cohere, identifying platform improvement areas, and cultivating technical champions within customer organizations to drive adoption and gather feedback to enhance products.

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The Solution Architect is responsible for developing detailed and scalable architectural designs to address client needs using Articul8 products and third-party libraries and tools. They run pilot programs with customers to demonstrate the feasibility and advantages of proposed solutions, including introducing new product features or building prototypes. The role requires working closely with clients to understand business challenges and technical requirements through workshops, meetings, and presentations. They optimize solutions for performance, reliability, and cost-effectiveness, selecting appropriate instance types, auto-scaling configurations, and storage options. Ensuring solutions comply with security best practices and regulatory requirements is necessary, including implementing identity and access management, data encryption, and other security measures. The architect also creates comprehensive documentation and provides training on solution implementation and management. Collaboration with cross-functional teams such as Applied Research, Engineering, Quality Assurance, and Customer Success is required to incorporate innovation and maintain product leadership. Additionally, the role involves mentoring and guiding junior team members and helping to build a culture of rapid innovation.

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The Senior Solution Architect will guide customers through their entire AI journey from initial solution architecture and technical discovery in pre-sales to hands-on implementation and optimization post-sale. Responsibilities include deeply understanding customer business challenges and crafting AI prototypes on the Articul8 platform to address business objectives, leading technical workshops, hackathons, and training sessions to enable customers, collaborating with Sales, Product, and Engineering teams to position the platform and deliver solutions, overseeing installation, configuration, and scaling of the platform in customer environments with a focus on security, reliability, and performance, developing and implementing tailored workflow solutions, architecting and tuning Kubernetes-based environments on AWS, Azure, GCP, and on-premises, delivering enablement workshops and documentation for long-term customer autonomy, monitoring and refining deployments for cost-effectiveness, scalability, and resilience, and gathering customer feedback to influence product roadmap and enhancements.

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Design and deploy scalable architectures for manufacturing use cases including industrial operations such as SCADA/HMI, EDA, IoT, Machine Learning, AI, and advanced analytics. Lead technical workshops, prototype solutions, and oversee platform deployment and optimization. Collaborate with product and engineering teams to incorporate customer feedback into the product roadmap. Advise customers on Articul8 product adoption strategies focusing on differentiating capability, security, cost, and operational efficiency. Architect and tune Kubernetes-based and containerized infrastructure leveraging cloud platforms (AWS, Azure, GCP, or on-premises) to ensure infrastructure excellence. Develop reusable solution templates and document best practices. Partner with sales and business development to drive cloud adoption and align solutions with industry trends. Continuously monitor and improve deployed solutions for performance and scalability. Communicate technical concepts clearly to diverse audiences and advocate for customer needs internally. Stay current with emerging manufacturing and cloud technologies to inform strategy and support other industry verticals when required.

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The Solutions Architect partners with account executives to understand customer needs, prioritize high-impact use cases, and translate them into technical solutions. They design and deliver customer-specific demos and prototypes showcasing the models' capabilities, act as the primary technical advisor throughout the enterprise sales cycle from discovery to deployment, and develop and maintain technical pre-sales assets tailored for different audiences. They represent Reflection in customer meetings, partner summits, and industry events. Additionally, they lead the technical integration of Reflection's models within partner platforms, enable partner sales and solutions engineering teams through workshops and training, develop joint sales assets with partners, and provide technical expertise for priority partner accounts.

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As a Solutions Architect at Cohere, you will play a key role in growing the business by acting as both a strategic thinker and hands-on implementer. You will build customer demos and proof of concepts that demonstrate the value of Cohere's platform, maintain technical relationships with stakeholders by understanding their business objectives and translating them into technical solutions, and take ownership of the customer narrative as a liaison between customers and the product team. You will provide guidance on best practices for using Cohere's platform, identify areas for improvement, and cultivate technical champions within customer organizations to drive adoption and gather feedback for product enhancement. Your responsibilities include developing and delivering advanced agentic AI solutions using Cohere's foundation models and Agentic AI Foundry - North, architecting scalable, secure, and customized NLP and generative AI solutions to meet enterprise needs, collaborating with customers to design pilots and translate business requirements into technical solutions involving model fine-tuning, custom agents, and agent orchestration. You will support deployment and integration of large language models and custom solutions into production environments with Kubernetes, Docker, and cloud infrastructures to ensure high performance and security, lead technical engagements such as deep dives into AI architectures, workshop facilitation, and setting best practices for agent-based AI systems and model customization, and cooperate with product development to provide customer feedback on AI capabilities to influence product enhancements and future features.

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As a Solutions Architect at Cohere for Defence and National Security, you will develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North. You will architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs. You will collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions including model fine-tuning, custom agents, and agent orchestration. You will support the deployment and integration of large language models and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security. You will lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization. Additionally, you will work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features. You will take a hands-on approach to building customer demos and proof of concepts to showcase business value, act as the technical relationship owner, collaborate with stakeholders to understand their business objectives, serve as the voice of the customer, liaise between customer and product teams, provide guidance on best practices, identify platform improvements, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance products.