Jobs at Perficient

Supports a digital banking transformation program by gathering and documenting requirements, workflows, use cases, and user stories. Analyzes current and future-state capabilities, facilitates stakeholder communication, supports testing and defect triage, and maintains requirements traceability through implementation. The role requires strong business analysis, process documentation, stakeholder management, and Agile delivery experience in digital banking or financial services.

Lead governance and end-to-end delivery of a digital banking platform migration. Manage roadmaps, milestones, risks, dependencies, budgets, resources, testing, release activities, vendors, and executive reporting. Coordinate business, technology, operations, and implementation teams while resolving issues and ensuring delivery meets scope, schedule, and quality objectives.

Owns product strategy, roadmap, requirements, backlog, and prioritization for digital banking capabilities. Gathers stakeholder needs, translates them into user stories, partners with vendors and technology teams, supports user acceptance testing and implementation readiness, and aligns payments, marketing, operations, and customer-facing functions. The role requires extensive product management experience in digital banking, online banking, payments, or financial services.

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.

Lead DevOps Engineer responsible for designing and operating AWS infrastructure, Terraform-based infrastructure as code, and GitHub Actions CI/CD pipelines. The role covers cloud architecture, observability, security, automation, containers, disaster recovery, cost optimization, incident response, and reliability engineering. This position also mentors engineers, establishes DevOps standards, documents operational practices, and collaborates with development and architecture teams to improve delivery and platform maturity.

Define and lead ServiceNow architecture and target-state roadmaps, ensure best-practice scalable implementations, design integrations and CMDB/CSDM strategies, provide technical leadership across delivery, support AI-enabled ServiceNow capabilities, and collaborate with stakeholders to ensure platform sustainability and governance.

Designs, implements, and optimizes Salesforce Data Cloud solutions. Responsibilities include configuring data streams, integrating Salesforce and legacy data with MuleSoft or ETL tools, mapping data objects, creating identity resolution rules, building calculated insights with SQL, developing customer segments, configuring activation targets, and managing data governance, privacy compliance, system performance, storage, and usage.

Designs and implements AWS cloud-native applications, distributed systems, and machine learning infrastructure. Leads architecture for SageMaker model deployment, inference, endpoints, and AI integrations while guiding engineering teams. Builds scalable event-driven services using AWS Lambda, SNS/SQS, EventBridge, DynamoDB, and Bedrock. Develops Python automation and ML integrations, applies Terraform and CI/CD, and ensures production ML workloads are secure, reliable, scalable, and cost-effective. Preferred experience includes NLP, embeddings, generative AI, OCR, MLOps, RAG, and vector databases.

Designs enterprise data management and architecture solutions for clients, including data governance, quality, catalog, lineage, master data management, modeling, cloud platforms, and legacy modernization. Leads client workshops, proposals, proof-of-concepts, implementation roadmaps, complex engagements, globally distributed teams, and executive presentations. Serves as a data subject matter expert, mentors teams, contributes to thought leadership, and integrates third-party platforms across on-premises and cloud environments.

Own the architecture and delivery of Salesforce and Marketo implementations, managed services, integrations, and optimization engagements. Lead client discovery sessions, advise on technical direction, scope new work, support proposals, mentor marketing teams, and resolve complex Marketo configuration and data issues. The role requires strong Marketo expertise, client-facing consulting skills, adaptability, communication, and enthusiasm for using AI tools.

Manage Salesforce implementation projects and organizational change initiatives from planning through delivery. Responsibilities include creating timelines, facilitating Scrum ceremonies, coordinating technical and change workstreams, managing resources and vendors, assessing change impacts, developing stakeholder communications and training, addressing resistance, tracking adoption metrics, and reporting project status, risks, budgets, and readiness. The role requires close collaboration with clients, product leads, account teams, developers, and Scrum Masters in an Agile consulting environment.

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, 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.