Jobs at Perficient

Leads the end-to-end delivery of large, global Adobe Experience Platform programs, owning client relationships, budget, margin, scope, schedule, quality, risk, resourcing, governance, and program health. Coordinates cross-functional teams across regions and time zones, incorporates regulatory validation, security, data residency, audit traceability, and release requirements into delivery plans, and ensures work converges on committed dates. Coaches delivery leaders, supports business development, and applies AI within compliance constraints.

Leads Perficient’s global Adobe practice, owning revenue, bookings, delivery quality, margins, utilization, offerings, alliance growth, client relationships, and 300 practitioners across three regions. Drives AI-first Adobe services, including CX Enterprise Coworker and agentic delivery capabilities, while overseeing major pursuits, program recoveries, capacity planning, talent development, market positioning, and executive advisory engagements.

Leads enterprise quality engineering, test automation, AI testing, and QA delivery for cloud-native and AI-powered platforms. The role combines hands-on coding, automation framework development, architecture, technical direction, team leadership, mentorship, stakeholder communication, and release-quality accountability. Responsibilities include developing features, validating architectures, supporting Agile teams, managing technical risks, and presenting quality status to leadership. Candidates need extensive QA experience, healthcare domain knowledge, programming expertise, cloud testing experience, and practical experience testing AI agents, LLMs, or AI/ML features.

Lead complex pre-sales solution architecture engagements from discovery through proof of concept and delivery-ready scoping. Translate client needs into architectures, estimates, staffing plans, business cases, and SOWs. Own sales targets and pipelines, develop repeatable offerings and practice intellectual property, maintain partner relationships, mentor junior architects, and ensure delivery fidelity. Apply AI tools to accelerate pre-sales workflows while providing thought leadership across Salesforce, commerce, customer experience, and agentic AI solutions.

Leads product strategy and enterprise program delivery for healthcare payer transformation initiatives. Owns product vision, roadmaps, backlogs, requirements, governance, budgets, risks, and stakeholder communications while coordinating Product, Engineering, Data, Architecture, QA, and Operations teams. Provides healthcare payer expertise across claims, enrollment, provider management, care management, utilization management, prior authorization, and regulatory compliance. Drives Agile delivery, adoption, benefits realization, data modernization, analytics, automation, and AI enablement.

Leads strategic pre-sales technical cycles, including discovery, solution architecture, proof-of-concepts, TCO modeling, estimates, SOWs, and executive presentations. Owns a sales target and pipeline while remaining lightly billable on shaped deals. Productizes repeatable offerings, develops practice IP, manages partner relationships, mentors architects, applies AI to pre-sales workflows, and ensures delivery fidelity from solution design through implementation.

Leads complex pre-sales technical engagements, including discovery, solution architecture, proof-of-concepts, TCO modeling, estimates, SOWs, and executive presentations. Owns a sales target and pipeline while ensuring solutions transition effectively into delivery. Productizes repeatable offerings, develops practice intellectual property, manages partner relationships, mentors architects, applies AI to pre-sales workflows, and provides thought leadership across Perficient’s Google partner ecosystem.

Owns client narratives from discovery through proof of concept, translating business problems into scoped technical solutions. Leads solution design workshops, architecture reviews, RFP responses, estimates, staffing plans, demos, and partner conversations. Carries revenue accountability, supports co-selling, ensures delivery fidelity, develops reusable practice assets, mentors consultants, and builds long-term client relationships. The role requires hands-on technical delivery experience, consulting expertise, AI fluency, partner ecosystem knowledge, and travel flexibility.

Leads complex pre-sales technical engagements for Databricks and cloud solutions, including discovery, architecture, proof-of-concept, TCO modeling, proposals, and SOW scoping. Owns a personal sales target and pipeline while ensuring delivery fidelity. Productizes repeatable offerings, develops reference architectures and pricing models, builds partner relationships, mentors architects, applies AI tools to pre-sales workflows, and supports thought leadership and practice development.

Leads complex technical pre-sales pursuits from discovery through solution design, architecture reviews, proof-of-concepts, proposals, and deal closure. Builds staffing plans, estimates, SOWs, TCO models, reference architectures, and scalable offerings while maintaining a personal sales target. Develops partner relationships across major cloud platforms, mentors architects, applies AI tools to pre-sales workflows, supports delivery transitions, and provides ongoing architectural governance.

Owns client narratives from discovery through proof-of-concept, translating business problems into scoped technical solutions. Leads technical presales engagements, solution workshops, RFP responses, SOW scoping, estimates, staffing plans, demos, and partner co-selling while carrying revenue accountability. The role also develops AI-focused solution assets, maintains partner relationships, mentors consultants, and ensures delivery fidelity after deals are sold.

Lead end-to-end cloud architecture for healthcare payer applications across mobile, web, APIs, microservices, and integration systems. Drive Generative AI adoption throughout the SDLC, including coding, testing, reviews, and documentation. Provide hands-on Java, Spring Boot, React Native, and Angular development leadership; collaborate with executives, product managers, engineers, and QA; ensure HIPAA and HITRUST compliance; and develop and defend project estimates and technical architectures.

Leads Azure solution architecture engagements from discovery through implementation. Designs landing zones, governance, identity, infrastructure modernization, hybrid migrations, and Infrastructure as Code. Partners with sales on scoping, estimates, proposals, and executive presentations while advising client leadership. Mentors technical teams, develops reusable delivery accelerators, and supports Azure practice growth. Requires deep hands-on Azure expertise, consulting experience, Azure certification, and willingness to travel up to 25%.

Design, build, deploy, and optimize AI/ML and generative AI solutions on Databricks. Develop scalable Spark and Delta Lake data pipelines, operationalize models with MLflow, and build RAG and LLM applications. Implement MLOps practices including CI/CD, monitoring, governance, and model deployment. Collaborate with technical, data, engineering, and business teams to deliver enterprise-scale AI platforms and analytics solutions.

Architects enterprise AI/ML and MLOps platforms, translating business goals into scalable AI initiatives. Leads discovery, platform evaluations, proof-of-concepts, reference architectures, CI/CD automation, model lifecycle management, governance, observability, and responsible AI practices. Partners with data scientists, engineers, and platform teams while supporting client workshops, solution pursuits, and implementation roadmaps. Provides expertise across Snowflake, cloud platforms, machine learning infrastructure, generative AI, LLMOps, and emerging AI technologies.

Leads Perficient’s Adobe digital marketing consulting capability, owning bookings, revenue, pipeline, solution quality, and billability. Advises enterprise clients on Adobe marketing-stack strategy, identity and data architecture, governance, personalization, content production, migrations, agentic capabilities, and consumption economics. Leads executive workshops, major pursuit reviews, reusable architecture development, hiring, staffing, career progression, and team development. The role requires translating recommendations into deliverable implementation plans and setting practice standards across complex consulting engagements.

Leads the integration workstream for an Informatica SaaS MDM implementation. Designs, develops, tests, deploys, monitors, and troubleshoots batch, real-time, API-based, and event-driven integrations. Defines architecture and development standards, manages mappings and reconciliation, collaborates with business and data teams, and ensures governance and security compliance. Provides technical leadership, code reviews, mentoring, work allocation, and quality oversight for offshore developers while supporting Agile planning, deployment, and hypercare.

Leads hands-on software development within an AI-focused pod, delivering production applications with .NET, React, and Azure. Coaches developers on AI-first practices, agent design, prompt engineering, and orchestration. Partners with Product Owners to define requirements, user stories, priorities, and delivery sequencing. Provides technical leadership in client-facing discussions, ensures architectural and engineering quality, mentors teams, supports consulting pursuits, and designs technology solutions for enterprise analytics and operational goals.

Configure and implement Informatica IDMC MDM solutions across customer, product, and supplier domains. Responsibilities include data modeling, match and merge logic, survivorship, golden records, hierarchies, data quality, governance, stewardship workflows, user access, testing, deployment, documentation, and production support. The role collaborates with business, governance, integration, and data engineering teams to deliver trusted enterprise master data.

Configure and implement Informatica IDMC MDM solutions for customer, product, and supplier domains. Responsibilities include data modeling, match and merge rules, survivorship, golden records, hierarchies, data quality, stewardship workflows, governance, duplicate management, testing, deployment, documentation, and production support. The role collaborates with business stakeholders, data governance teams, architects, integration teams, and data stewards to deliver trusted, governed enterprise master data.