Jobs at Perficient

Designs and leads enterprise application architecture across .NET, React, and Azure. Responsibilities include defining technical strategies and roadmaps, guiding engineering teams, designing cloud-native systems and APIs, supporting production applications, and improving reliability, observability, performance, security, and scalability. The role also involves stakeholder engagement, technical leadership, mentoring, consulting, distributed-team collaboration, and adoption of AI-assisted development tools such as GitHub Copilot and Claude.

Design, develop, test, document, deploy, and support scalable full-stack applications using React, C#/.NET, and Hack. Build backend services, APIs, integrations, and AI-enabled capabilities including LLM workflows. Participate in Agile planning, code reviews, troubleshooting, client communication, and software delivery while applying modern architecture, DevOps, CI/CD, and automated testing practices.

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.

Owns client solution narratives from discovery through proof of concept, translating business problems into scoped technical solutions. Leads presales discovery, architecture workshops, RFP responses, SOW scoping, estimates, staffing plans, demos, and partner co-selling while carrying revenue accountability. Develops AI-focused solution assets, maintains partner relationships, mentors consultants, and ensures delivery fidelity from sale through execution.

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.

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.

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.

Leads growth, go-to-market execution, strategic sales support, alliance engagement, solution commercialization, and client advisory efforts for a Process Automation consulting practice. The role develops automation offerings using ServiceNow, Appian, Pega, AI-enabled automation, workflow orchestration, and low-code platforms while supporting pipeline growth, revenue expansion, market development, and business transformation initiatives.

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.

Lead analyst relations communications by developing analyst-focused content, managing analyst workflows and subscriptions, building internal relationships, creating presentations and collateral, tracking and summarizing research, producing monthly performance reporting, and providing strategic input to grow the program and expand relationship-building activities.

Leads architecture and hands-on development of Java and AWS cloud solutions, including microservices, distributed systems, APIs, and AI-enabled applications. Defines technical strategies, engineering standards, and roadmaps; contributes to coding, reviews, troubleshooting, and deployment. Partners with clients and delivery teams, mentors engineers, supports consulting proposals, and drives scalable, secure, resilient solutions using modern DevOps and agile practices.

Design, develop, and support scalable full-stack, cloud-native applications using Next.js, TypeScript, .NET, Python, AWS, and Kubernetes. Build AI-enabled solutions involving generative AI, LLMs, intelligent assistants, RAG, and workflow automation. Collaborate with architects, product teams, and clients, contribute to architecture and Agile delivery, troubleshoot production systems, establish observability practices, review code, and mentor junior engineers.

Leads enterprise production support strategy and technical architecture for complex application ecosystems. Designs L1-L3 support models, ITIL processes, monitoring and observability frameworks, incident management practices, automation, and AI-enabled operational capabilities. Provides solution architecture, client advisory, governance, modernization, and executive communication while supporting applications built with .NET, Python, Databricks, and Azure. The role also drives reliability, performance, service readiness, operational resilience, and continuous improvement across client environments.

Designs, operates, and scales AWS cloud infrastructure, networking, and Databricks platforms across multi-account environments. Manages Terraform-based infrastructure, CI/CD pipelines, EKS/Kubernetes clusters, enterprise data integrations, observability, incident response, and governance. Optimizes networking, compute performance, costs, reliability, and production data workloads while partnering with engineering teams on continuous delivery and platform operations.

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.