Jobs at Pythian

Leads the architecture, development, deployment, and optimization of enterprise AI/ML systems, including LLMs and generative AI. Provides technical leadership and mentorship, operationalizes models, implements MLOps, and integrates solutions across AWS, GCP, Azure, Docker, and Kubernetes. Partners with executives, clients, product managers, data scientists, and engineering teams to align AI roadmaps with business goals while ensuring scalable, monitored, cost-efficient, and production-ready systems.

Lead enterprise sales for AI, data, cloud, and database managed services across the South West territory. Responsibilities include hunting new logos, expanding accounts, managing Salesforce pipeline forecasts, developing executive relationships, co-selling with hyperscaler and OEM partners, and leading complex sales cycles from discovery through close. The role requires consultative selling, business case development, proposal leadership, and coordination with solutions, delivery, legal, and finance teams. Travel is required for client meetings, partner events, conferences, and the annual sales kickoff.

Administer enterprise storage and backup infrastructure for global customers. Configure and support Veeam backup environments, repositories, restores, retention, and backup jobs. Manage NetApp and Dell EMC storage, SAN zoning, masking, redundant paths, NAS shares, storage allocation, and hardware health. Conduct assessments, solution design, implementations, troubleshooting, vendor coordination, change control, and stakeholder updates. Participate in 24/7 on-call escalation support and collaborate with vendors such as Veeam support.

Operate and administer customer infrastructure, improve availability and resiliency, automate repetitive tasks, perform root cause analysis, maintain documentation, and advise clients on technology road maps. The role includes cloud infrastructure, Kubernetes, networking, virtualization, Puppet, Linux systems, monitoring, incident response, and on-call escalation responsibilities.

Drive enterprise sales of AI, data, cloud, database, and managed services. Build territory plans, hunt new logos, expand existing accounts, manage Salesforce pipelines, and lead complex sales cycles through negotiation and close. Develop executive relationships, co-sell with hyperscaler and OEM partners, coordinate internal technical and business resources, create proposals, and position data foundations for production AI adoption.

Provide 24/7 enterprise network support for global clients. Administer complex multi-vendor LAN, WAN, routing, switching, and firewall environments; troubleshoot escalated and high-severity incidents; configure Cisco networking and security devices; coordinate with ISPs, clients, and onsite teams; and manage network security technologies, VPNs, and SD-WAN solutions.

Provides 24/7 global client support for enterprise network security environments. Configures, manages, and troubleshoots Cisco FMC/FTD firewalls, VPNs, security policies, IDS/IPS, certificates, LAN/WAN infrastructure, routing and switching, and SD-WAN. Handles security incidents, escalated P1/P2 technical calls, risk remediation, and critical network issues while communicating directly with clients. Supports multi-vendor environments including Cisco and Arista.

Develop, deploy, and maintain scalable AI/ML pipelines and production systems, including LLMs and generative AI models. Collaborate with data scientists, software engineers, architects, and clients to integrate AI capabilities into products. Optimize model performance, latency, and cost on AWS, GCP, and Azure, using Docker, Kubernetes, CI/CD, monitoring, versioning, and other MLOps practices.

Provides senior database reliability and infrastructure consulting for clients. Responsibilities include designing, configuring, administering, monitoring, backing up, restoring, and optimizing MySQL database environments; managing replication, clustering, failover, disaster recovery, incidents, and complex changes; improving automation and tooling; supporting presales; documenting solutions; and mentoring database consultants. The role requires strong cloud, infrastructure-as-code, scripting, containerization, client communication, troubleshooting, and technical leadership skills.

Provides database consulting and reliability services for customer environments, including MySQL database design, administration, monitoring, backup and disaster recovery, replication, failover, troubleshooting, and infrastructure optimization. Advises clients on operational best practices, supports incident and change management, enhances automation and monitoring tools, contributes to presales and technical content, and mentors database consultants.

Design and develop cloud-based data platform solutions, including data pipelines, ingestion, transformation, cleansing, integrations, and data applications. Translate technical requirements into detailed designs, write reliable code, develop test automation, troubleshoot operational issues, tune batch and real-time processing, secure cloud data platforms, and implement CI/CD and monitoring. The role also involves advising client developers and defining efficient operational processes.

Develop, deploy, and maintain scalable AI/ML pipelines and production models, including LLMs and generative AI. Optimize model performance, latency, and cost across AWS, GCP, and Azure. Apply MLOps practices such as CI/CD, versioning, monitoring, logging, and maintenance. Collaborate with data scientists, software engineers, solution architects, and cross-functional teams to integrate AI capabilities into products and workflows.

Lead the architecture and development of scalable AI/ML pipelines and production systems, including LLMs and Generative AI. Mentor engineering teams, guide technical decisions, operationalize models, optimize performance and costs, and implement MLOps practices such as CI/CD, monitoring, versioning, and maintenance. Partner with executives, clients, product managers, data scientists, and software engineers to align AI roadmaps with business goals and integrate ethical AI capabilities into enterprise applications.

Drive enterprise sales of AI, data, cloud, database managed services, and production AI solutions across the Midwest. Build territory plans, generate new logos, expand accounts, manage Salesforce pipelines, and lead complex sales cycles from discovery through close. Co-sell with hyperscaler and OEM partners, engage executive buyers, develop proposals and business cases, and coordinate solutions, delivery, legal, and finance teams.