Jobs at Perficient

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.

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.

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 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.

Owns business analysis and delivery for Adobe Experience Manager initiatives. Responsibilities include gathering requirements, managing and prioritizing backlogs, writing user stories and acceptance criteria, facilitating Scrum ceremonies, coordinating developers, architects, UX, QA, and stakeholders, supporting UAT, tracking risks and releases, and leading business-side content migration activities through validation, cutover, and sign-off.

Leads large, global Adobe experience platform programs from mobilization through support, owning client relationships, delivery, financials, resourcing, governance, risk, quality, compliance, and program health. Coordinates distributed teams and discipline leads around committed dates, incorporates regulatory validation and data-residency requirements, and manages Adobe technologies including AEM Cloud Service and Edge Delivery Services. Coaches delivery talent, supports business development, and applies AI within client compliance constraints.

Leads enterprise architecture strategy for Adobe Experience Cloud solutions, aligning technology with business goals and defining scalable, secure target architectures. Responsibilities include roadmap development, systems integration, technology evaluation, architecture standards, risk assessment, platform oversight, executive stakeholder management, pre-sales solutioning, and leadership of cross-functional teams. Requires extensive Adobe ecosystem architecture experience, cloud-native design, microservices, API integration, consulting, and executive engagement.

Leads strategy, roadmaps, backlogs, discovery, delivery, and continuous improvement for AI-powered products. Partners with engineering, AI/ML, data, design, and business teams to translate customer needs into measurable solutions using generative AI, LLMs, agents, and automation. Manages stakeholders, product metrics, responsible AI considerations, and complex consulting engagements, including PMO and multi-team delivery responsibilities.

Leads the architecture, design, and implementation of enterprise AI solutions. Defines AI strategies, scalable architectures, technology roadmaps, governance practices, and modern technology stacks. Partners with business and technical stakeholders, guides development teams, evaluates emerging technologies, supports consulting pursuits, and provides technical leadership throughout project lifecycles. The role also mentors architects and engineers and requires client relationship development and travel.

Lead delivery and technical direction for data solutions: define scope, anchor proofs-of-concept, provide solution architecture, integrate third-party services, manage timelines and budgets, ensure customer satisfaction, mentor teams, support sales and proposals, and run PMO practices across large multi-team engagements.

Designs and delivers Salesforce Data 360 architectures that unify customer data and enable activation across Sales, Service, Experience, and Marketing. Leads discovery workshops, solution design, presales strategy, technical delivery, integrations, and architectural decisions. Advises on cloud data platforms, zero-copy patterns, identity resolution, transformations, and AI enablement. Mentors consultants, reviews technical work, manages risks, supports estimation, evaluates talent, and builds trusted client relationships.

Leads business discovery and translates B2B/B2C commerce requirements into technical epics, user stories, process documentation, and acceptance criteria. Maps business needs to Adobe Commerce, ACO, EDS, and App Builder capabilities while supporting AI-driven personalization and merchandising strategies. Owns backlog prioritization, sprint refinement, edge-case testing, and UAT. Requires strong Adobe Commerce experience, Agile expertise, AI tool proficiency, and familiarity with commerce integrations and personalization features.

Lead complex, fixed-fee programs across multiple workstreams, teams, and geographies. Own delivery, governance, financial performance, risk management, contractual commitments, executive stakeholder relationships, resource planning, and business outcomes. Drive delivery excellence and AI-enabled practices while partnering with technology and business leaders. Mentor project and delivery managers and develop high-performing teams.

Configure and consult on Salesforce CPQ and Revenue Cloud solutions, including product catalogs, pricing, quoting, approvals, and quote-to-contract workflows. Lead client workshops, requirements sessions, demos, testing, training, documentation, and enhancement planning. Identify scope and delivery risks, support data migration and releases, execute architectural designs, mentor junior consultants, and advise clients on lead-to-cash and sales process improvements.

Advise clients on business transformation by assessing strategies, operating models, processes, governance, and change environments. Design future-state capabilities, organizational structures, processes, and ways of working; develop roadmaps, business cases, and adoption plans; facilitate stakeholder alignment; measure business value; and support implementation. The consultant may lead workstreams, manage client relationships, contribute to sales pursuits, mentor colleagues, and apply AI to improve consulting delivery and transformation outcomes.

Own product vision, roadmap, backlog, requirements, user stories, success metrics, and stakeholder alignment. Lead enterprise-scale healthcare transformation programs through implementation and post-production support, managing scope, budgets, risks, governance, and Agile delivery. Coordinate Product, Engineering, QA, Data, Architecture, and business teams. Identify opportunities for AI, automation, analytics, and digital technologies in payer operations while driving adoption, change management, and benefits realization.