Job Track Description:
Analytics & AI Solutions Architect
Do you enjoy building enterprise-grade platforms and analytics & AI solutions? Do you want to establish and lead an enterprise-grade platform that drives Analytics & AI solutions across multiple domains?
Conduent is seeking an Analytics & AI Solution Architect with cloud, data, analytics, and GenAI expertise to join our Analytics & Data Science Practice. This role requires broad technical depth and will support defining reference architectures, governing solution design decisions, enabling reusable platform capabilities, ensuring alignment with enterprise technology standards, and driving adoption of modern AI technologies across Conduent businesses. The architect partners closely with business stakeholders, product leaders, engineering teams, and clients to translate business objectives into scalable, secure, and operationally sustainable solutions.
Responsibilities:
- Lead hands-on design and development of analytics, AI, and GenAI platforms, solutions, and services.
- Establish reusable reference architectures, design patterns, standards, and architectural guardrails. • Support design and governance of enterprise GenAI capabilities including RAG, Agentic AI, multi-agent orchestration, prompt frameworks, knowledge management, and evaluation frameworks.
- • Define Responsible AI, security, privacy, observability, model lifecycle management, and operational governance controls.
- Lead architecture, design, and implementation decisions across cloud-native applications, APIs, integrations, data platforms, containers, and DevOps pipelines. • Champion AI architecture strategy across data, model, application, and cloud infrastructure layers, including Generative AI, AI/ML platforms, model governance, responsible AI, security, observability, and scalable production deployment patterns.
- Provide architecture leadership across multiple concurrent initiatives and work with delivery teams through implementation and production deployment.
- Support solution sizing, proposals, client discussions, and technology modernization initiatives.
- Mentor engineers, technical leads, and architects while driving adoption of engineering best practices and development standards.
- Design and implement products and platforms that comply with the standards and best practices across multiple businesses & domains. Support architecture reviews & alignment with enterprise architecture and governance standards.
- Drive the design, sizing, setup, and optimization of cloud environments and related services.
- Advise on emerging technology trends and recommend adoption opportunities to maintain competitive advantage.
Experience Needed:
- • 15+ years of industry experience, including at least 5 years of experience as lead architect designing and building cloud-native analytics and AI / GenAI solutions. Hands-on Azure experience is required.
- • Hands-on experience delivering GenAI solutions into production environments including designing and governing enterprise AI architectures, prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls & guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into analytics and enterprise applications.
- Hands-on expertise to develop and deploy applications on Azure, including services such as App Service, Azure Functions, Container Apps, Azure AI Foundry, AKS, Storage, Key Vault, API Management, or similar components
- Experience leading cross-functional engineering teams and large-scale technical initiatives
- Experience in full stack development, design, architecture, implementation, and deployment using Python and cloud container services to deliver scalable, secure, and maintainable applications. • Understand the operational dependencies across applications, networks, systems, security, and policies in both on-premises and cloud environments, including VMs, networking, VPN/ExpressRoute, Microsoft Entra, and Azure Storage.
- • Proficiency in Storage, Relational Databases, Cloud Databases, DocumentDB/No-SQL , MPP’s, Model Data Transformation technology design and implementation.
- Demonstrate experience as an architect delivering modern data architecture platforms and solutions across data lake, lakehouse, data integration, governance, and analytics capabilities.
- Demonstrate experience with DevOps or equivalent industry-standard tools.
- Constantly strive to research and improve the GenAI architecture inline with technology and framework advencements and enhance the product landscape.
- Advanced knowledge of computer science, software engineering, software development methodologies, and modern application architecture practices.
- BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.
Additional Requirements
- Good to have architectural and implementation knowledge of Microsoft Fabric, OneLake, Fabric Pipelines, Medallion Architecture, Fabric Data Agent, and Azure AI Foundry.
- Demonstrate a track record of successfully completing complex technical projects.
- Deliver applications leveraging global delivery model.
- Demonstrate professionalism and strong stakeholder engagement across clients, colleagues, and delivery teams.
- Make sound, far-reaching technical decisions independently and take full responsibility for outcomes.
- Communicate effectively and persuasively through strong written and verbal communication skills. • Gather end-user requirements and produce clear technical documentation.
- • Manage competing priorities effectively and deliver high-quality outcomes with aggressive time-to-market timelines.
About Us
Through our dedicated associates, Conduent delivers mission-critical services and solutions on behalf of Fortune 100 companies and over 500 governments - creating exceptional outcomes for our clients and the millions of people who count on them. You have an opportunity to personally thrive, make a difference and be part of a culture where individuality is noticed and valued every day.
About the TeamConduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law.
For US applicants: People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by submitting their request through this form that must be downloaded: click here to access or download the form. Complete the form and then email it as an attachment to [email protected]. You may also click here to access Conduent's ADAAA Accommodation Policy.
Skills Required
- 12+ years industry experience
- 4+ years of experience in data and analytics solutions architect role
- 3+ years designing and building analytics solutions on multiple cloud vendors
- Proficiency in Storage, ETL/ELT, Relational Databases, Cloud Databases
- Experience delivering modern data architecture platforms and solutions
- BS or Masters degree in Computer Science or related discipline
- Experience in DevOps or equivalent industrial standard tools
- Strong knowledge of SQL Server, Hadoop, Spark, and data lake
- Experience driving cloud architecture on Microsoft Azure
- Knowledge of industry solutions like VMware Tanzu, DataBricks, SnowFlake, Cloudera
- Experience in Data Quality Management and Data Architecture standardization
- Advanced knowledge in computer science or software engineering
- Knowledge of Medallion architecture for Data Warehouse delivery
- Experience with Azure Fabric and Data Agents
- Configuration and usage of at least 1 GenAI tool for Data Agents
Conduent Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Conduent and has not been reviewed or approved by Conduent.
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Healthcare Strength — Health coverage is broad, with multiple plan options, preventive care at 100%, telemedicine access, behavioral health support, and wellness resources.
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Leave & Time Off Breadth — Paid time off, holidays, sick days, volunteer time, and parental leave are included, offering multiple avenues for rest and personal needs.
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Wellbeing & Lifestyle Benefits — Perks include childcare and commuter benefits, fitness stipends, discount programs, an Employee Assistance Program, and a remote work program that support overall wellbeing.
Conduent Insights
What We Do
Conduent delivers mission-critical services and solutions on behalf of businesses and governments — creating exceptional outcomes for its clients and the millions of people who count on them. Through process, technology and our diverse and dedicated associates, Conduent solutions and services automate workflows, improve efficiencies, reduce costs and enable revenue growth. It’s why most Fortune 100 companies and over 500 government entities depend on Conduent every day to manage their essential interactions and move their operations forward. At Conduent, we are one team with one mission. When you join Conduent, you are engaged in creating the future — both our company’s and your own. You’ll have the opportunity to grow and thrive through experiences and formalized learning programs.







