Top Artificial Intelligence Jobs in Pittsburgh, PA

Deploy and support distributed SaaS and on-premise infrastructure, gather customer requirements, adapt deployment manifests, monitor platform health, troubleshoot issues, package releases, and automate release pipelines across Kubernetes and AWS, GCP, and Azure environments.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Leads a span of approximately 20 engineers while shaping hiring, onboarding, career development, staffing, and engineering enablement across the AI practice. The role is also approximately 50% billable client delivery, providing executive advisory on AI software development lifecycles, governance, agentic deployments, MLOps and LLMOps pipelines, cloud platforms, observability, and production resilience. Requires extensive engineering leadership, organizational scaling, consulting, GCP, and production AI/ML deployment experience.

Build and operate scalable cloud data pipelines, warehouses, transformation layers, and ML production systems. Lead data infrastructure architecture, warehouse performance optimization, DataOps monitoring, CI/CD improvements, data quality testing, and large-scale data product delivery. Collaborate across teams, promote data stewardship, and support batch and streaming pipelines while deploying, serving, and monitoring machine learning models.

The Product Analyst connects product vision with software development by translating customer needs into user stories, acceptance criteria, and prioritized backlogs. They support Agile sprint planning, product roadmap development, stakeholder communication, release planning, and customer workflow research. The role gathers feedback, evaluates competitors, identifies risks and opportunities, and ensures development teams understand business goals and expected outcomes.

Manage inbound leads from marketing channels, communicate Automation Anywhere’s value proposition, qualify prospects, schedule discovery calls for Account Executives, maintain lead records in Salesforce and Salesloft, and contribute to revenue pipeline goals through phone, email, and social outreach.

Owns enterprise sales across Northeast State, Local, and Education accounts, including state agencies, municipalities, and universities. Responsibilities include full-cycle selling, executive engagement, pipeline development, public-sector procurement navigation, pilot conversion, multi-year contract growth, and contributing to SLED-specific pricing and go-to-market strategy. The role requires cybersecurity fluency, strong public-sector relationships, complex deal-closing expertise, and comfort building a territory in an early-stage company.

Develop and execute joint marketing plans with partners to drive demand, pipeline, revenue, and partner activation. Create enablement materials, messaging, playbooks, campaigns, webinars, events, and digital programs. Collaborate with Sales, Digital Marketing, and Field Marketing teams while measuring engagement, conversion, pipeline, and revenue impact. Optimize successful programs across partners and regions, support new partner launches, and influence internal and external stakeholders without direct authority.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

Embeds with customers to lead technical discovery, build AWS proofs of concept, and design and implement migration, modernization, and DevOps solutions. The role handles complex technical escalations, leads MAP assessments and workshops, scopes statements of work, supports technical sales, drives account expansion and revenue, and mentors team members on AWS and cloud delivery best practices.