Jobs at Perficient

Build and iterate AI-powered proofs-of-concept and production-ready features, including LLM integrations, agent orchestration, RAG, multimodal interfaces, and telemetry-driven experimentation within rapid sprint methodologies, collaborating with strategists and designers to deliver agentic customer experiences.

The role involves leading product strategy and execution, managing product backlogs, and collaborating with cross-functional teams to deliver AI-driven solutions.

Design and maintain end-to-end data pipelines using Microsoft Fabric and Azure Synapse, ensuring data quality and performance optimization while collaborating with cross-functional teams.

Design and maintain data pipelines, optimize data processing with PySpark on Databricks, ensure data quality, and collaborate on data architecture solutions.

Design and implement scalable Generative AI architectures, build Python services, integrate LLMs, oversee deployment operations, and evaluate emerging technologies.

The role involves software development lifecycle participation, application development in Java and Python, and production support, with a focus on large-scale distributed systems.

The role involves designing and maintaining data pipelines, developing ETL/ELT processes, building Power BI dashboards, and ensuring data quality and governance.

The Account Executive for Process Automation will drive revenue growth by expanding client relationships and acquiring new accounts, while collaborating with internal teams and partners.

Lead and scale AI engineering and solutions for BFSI, focusing on software development lifecycle transformation and regulatory compliance. Drive platforms' architecture, client delivery, and talent development to enhance organizational growth and innovation.

As a Lead BPM Consultant, oversee software development life cycle phases, implement IBM BAW/BPM processes, lead teams, and foster effective relationships.

The Technical Architect designs and implements scalable API solutions, mentors teams, and ensures compliance with architectural standards, collaborating on innovative technology solutions.

The Lead Machine Learning Engineer will optimize AWS SageMaker, manage ML pipelines, develop infrastructure as code with Terraform, build CI/CD pipelines, and collaborate with data scientists to deploy models in production.

Lead design and delivery of production-grade agentic AI solutions on AWS, define GTM and reference architectures, support sales and customer engagements, ensure security and governance, enable internal teams, and stay current on agentic AI and AWS capabilities.

Lead design, develop, and deliver ServiceNow ITSM/ITOM solutions including Discovery, Service Mapping, Event Management, CMDB/CSDM, and AIOps integrations. Architect integrations with observability tools, deploy MID Servers, drive testing and production support, mentor developers, and support pre-sales scoping and documentation.

Oversee multiple projects ensuring alignment with objectives. Manage resources, mitigate risks, and communicate status to senior leadership. Requires onsite collaboration.

The Senior Technical Architect will lead AI SDLC transformations, create architectural solutions, mentor teams, and drive innovation in regulated industries.

The Appian Technical Consultant implements and configures solutions on the Appian platform, leads technical projects, and collaborates with clients to achieve project goals while utilizing AI and RPA technologies.

The Senior Automation Product Owner leads client interactions, defines product requirements, prioritizes backlogs, and manages product development within agile teams.

The AI Strategist leads AI initiative ideation and planning, collaborates across departments to define use cases, and ensures alignment with strategic and regulatory goals.

Drive enterprise client growth in the Chicago region by expanding existing Salesforce accounts and developing new relationships. Manage full sales cycle from qualification through SOW and contract negotiation, partner with delivery and Salesforce teams, and travel to client sites as needed (up to 50%). Deliver consultative solutions, meet revenue targets, and apply AI and cloud capabilities to achieve business outcomes.