Jobs at Perficient

Manage Salesforce implementation projects from planning through delivery, including Scrum ceremonies, Agile adaptation, timelines, budgets, risks, resources, vendors, and client communications. Collaborate with account, creative, product, technology, and development teams to resolve issues, clarify requirements, and deliver high-quality solutions on schedule. The role also requires consulting experience, Salesforce implementation leadership, strong communication and problem-solving skills, and the ability to leverage AI responsibly.

Designs and implements secure, scalable GCP solutions; leads cloud migration and modernization initiatives; builds GKE Kubernetes platforms; develops Terraform infrastructure; and implements CI/CD, automation, and SRE practices. Collaborates with enterprise clients, translates business needs into technical architectures, mentors team members, supports pre-sales, and helps adopt Google AI services including Vertex AI, BigQuery, and Dataflow.

Leads enterprise marketing automation consulting across discovery, pre-sales, architecture, delivery, and ongoing advisory. Designs AI-first Adobe Marketo Engage solutions, integrations, migrations, campaign architectures, lead management systems, and CRM-connected ecosystems. Develops proposals, business cases, proofs of concept, and implementation plans; mentors practitioners; supports practice growth and thought leadership; and manages strategic client relationships and complex engagements.

Design and lead Salesforce solutions spanning Sales Cloud and Marketing Cloud Account Engagement (Pardot). Scope projects, architect prospect-to-lead/contact sync, drive connector and data governance best practices, mentor consultants, and manage campaign automation, segmentation, and deliverability considerations.

Develop and support InterSystems IRIS and Caché applications for laboratory and healthcare interoperability. Responsibilities include designing ObjectScript classes and productions, building HL7 interfaces, developing APIs and data workflows, optimizing SQL and IRIS data structures, migrating Caché to IRIS, troubleshooting integrations, supporting deployments, and ensuring FDA and HIPAA compliance. The role also involves solution design, root-cause analysis, collaboration with stakeholders, mentoring, and limited onsite sessions.

Leads the strategy, architecture, and implementation of AI-enabled QA capabilities across internal practices and client engagements. Responsibilities include researching AI QA technologies, designing reference architectures, supporting sales and delivery, developing reusable accelerators, managing technology partnerships, creating marketing collateral, and mentoring QA teams. The role requires extensive QA and automation experience, hands-on AI/ML or GenAI expertise, consulting ability, executive communication, and experience with proposals, proofs of concept, demos, and technical solutioning.

Lead the design, configuration, deployment, and optimization of Oracle FCCS solutions. Translate finance requirements into scalable configurations, manage metadata and consolidation logic, support financial close processes, develop reports and dashboards, ensure GAAP/IFRS compliance, troubleshoot performance issues, and provide user training and ongoing support. The role also requires staying current with Oracle Cloud updates and using AI tools responsibly to improve productivity and workflows.

Lead Salesforce architecture for client implementations, specializing in CPQ or Revenue Cloud and multiple Salesforce Clouds. Responsibilities include defining architecture, writing user stories, estimating projects, leading Agile teams, supporting presales, developing proofs of concept, overseeing testing and releases, resolving technical dependencies, engaging stakeholders, and mentoring delivery teams. The role requires strategic leadership, client communication, and hands-on consulting across multiple projects.

Design and lead enterprise Salesforce architectures across multiple clouds, integrations, Data Cloud, Agentforce, AI capabilities, data migration, custom development, security, and DevOps. Partner with clients and stakeholders through workshops, discovery, solutioning, deployment, and technical reviews. Advise executive and technical audiences, support presales activities, mentor delivery teams, and ensure scalable, secure, high-performing implementations.

Lead enterprise Salesforce architecture across multiple client engagements, designing solutions with Salesforce Core, Agentforce, and Data Cloud. Advise executive stakeholders, facilitate discovery and design workshops, develop roadmaps and proofs of concept, estimate projects, guide Agile delivery teams, resolve risks, and mentor technical teams. Drive implementations from strategy through optimization while aligning technology capabilities with business objectives.

Lead the development and scaling of an AI-enabled software development lifecycle practice for regulated industries. Design cloud-agnostic AI platforms, enterprise architectures, compliance frameworks, model gateways, prompt governance, and evidence automation. Deliver rapid platform MVPs, architect solutions, develop proof-of-concepts and sprint features, and guide multiple Agile teams. The role also involves client presales, technical consulting, mentoring, offshore-team collaboration, practice development, and driving innovation across distributed engineering teams.

Lead enterprise Microsoft Fabric architecture, migrations, governance, and adoption programs. Define roadmaps, architecture standards, and delivery plans; guide agile teams and manage technical risks. Support presales through estimates, SOWs, prototypes, presentations, and executive briefings. Mentor distributed teams, develop practice enablement materials, track Microsoft’s roadmap, and build the Fabric center of excellence. The role requires deep Fabric and Azure data platform expertise, governance experience, consulting leadership, certification, and willingness to travel up to 25%.

Lead PIM and PXM strategy and solution architecture for client product activation initiatives. Design product content lifecycles, data models, governance frameworks, workflows, and syndication strategies. Facilitate discovery workshops, translate business needs into implementation plans, guide merchandising and cross-functional stakeholders, and mentor delivery teams. The role combines technical architecture, business consulting, product data expertise, and leadership across concurrent transformation projects.

Lead data architecture consulting engagements, pursuit teams, client workshops, proofs of concept, and complex solution delivery. Design modern data architectures, integrate third-party platforms, create implementation roadmaps, and translate technical concepts for executive and technical audiences. Manage globally distributed teams, provide mentorship and thought leadership, support sales pursuits, and advise clients on data governance, quality, cataloging, lineage, master data management, cloud platforms, modernization, scalability, security, and AI-enabled solutions.

Design, build, deploy, and operate production conversational AI and intelligent contact center solutions on AWS. Develop Amazon Connect, Lex, Bedrock, NovaSonic, Lambda, API Gateway, and DynamoDB integrations; connect ServiceNow for case management and agent workflows; implement observability and optimize contact center performance. Collaborate directly with client engineering teams through architecture reviews, sprints, pairing, documentation, runbooks, and knowledge transfer.

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 product strategy, vision, discovery, roadmaps, stakeholder engagement, requirements refinement, workflow modeling, backlog management, and user story development for commerce and order management solutions. Owns product outcomes across delivery streams, analyzes product metrics, manages risks and dependencies, and guides development teams toward successful client delivery. Requires consulting experience, order management expertise, executive communication, Agile/Scrum knowledge, and familiarity with AI tools and platforms.

Designs and leads enterprise Order Management System solutions, including architecture, integrations, roadmaps, fit-gap analysis, workshops, proofs of concept, estimation, and implementation strategy. Partners with stakeholders, product owners, developers, and distributed teams to deliver scalable OMS capabilities across ERP, CRM, WMS, and eCommerce platforms. Provides technical leadership, executive presentations, mentoring, team oversight, and thought leadership while supporting multiple Agile teams and consulting engagements.

Design and own end-to-end Databricks Lakehouse and AI/BI solutions across cloud platforms. Provide architecture, presales support, POCs, integration, estimations, mentorship, and technical leadership for multi-team deliveries, including batch and streaming data pipelines and GenAI integrations.

Lead the architecture and implementation of enterprise-scale Azure data and AI platforms, including data lakes, lakehouses, warehouses, integrations, machine learning, and generative AI solutions. Establish governance, security, MLOps, and AI frameworks; guide cloud modernization, migration, performance, and cost optimization. Translate business needs into technical architectures, present recommendations to executives, lead architecture reviews, support client pursuits, and mentor engineering teams.