Jobs at Perficient

Provides administrative and office support across multiple locations, including reception, badge and mail distribution, supplies, conference rooms, catering, invoice validation, credit card reconciliation, meeting coordination, and facilities liaison duties. Requires strong organization, communication, multitasking, attention to detail, and intermediate Microsoft Office skills.

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.

Architects fault-tolerant, globally scalable GCP platforms that integrate AI and LLMs into production. Leads Vertex AI and MLOps implementations, RAG and agentic applications, responsible AI governance, compute and FinOps strategy, platform engineering, and SRE reliability practices. Establishes design-doc and architecture-review processes, translates business requirements into technical blueprints, mentors architects and engineers, and supports client pursuits in a consulting environment.

Design, deploy, and operate secure, scalable GCP infrastructure and platform services. Responsibilities include Terraform-based infrastructure, GKE and Kubernetes operations, CI/CD automation, cloud networking, observability, IAM, security controls, cost optimization, incident response, and documentation. The engineer will mentor junior staff, review infrastructure code, support migrations and multi-tenant platforms, and collaborate with engineering, product, security, and compliance teams.

Sell and expand Salesforce services to mid-market and enterprise clients across the Chicago region. Manage full sales cycle, cultivate executive relationships, collaborate with delivery and Salesforce partners, develop proposals/SOWs, negotiate and close deals, and travel to client sites up to 20%.

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.

Leads AI- and data-driven business transformations for Fortune 500 customers using the Celonis Platform. Responsibilities include quantifying ROI, developing executive value narratives, managing complex transformation programs, coordinating stakeholders, improving business processes, building adoption roadmaps, and supporting technical solution development. The role combines management consulting, enterprise technology pre-sales, data analytics, program management, and customer relationship ownership, with a focus on finance, supply chain, and banking use cases.

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.

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.