Ai Data Engineering Architect

Descriptiona leading professional services firm that specializes in real estate and investment management. hiring 4 Data Engineers as an effort to invest in on shore full time talent. This talent is to sit with business stakeholders in the US, to work on producing AI Agents in quick fashion. Also called forward Deployed Data Engineers, in the US to design and deliver production-ready data and AI solutions for high-priority business problems. This role combines solution architecture, hands-on Python and data engineering, AI agent development, and direct stakeholder engagement.Key ResponsibilitiesSolution Design & Architecture Lead solution design for complex, cross-functional data and AI problems from initial discovery through to technical blueprint Define and communicate architecture decisions, trade-offs, and delivery approaches to both technical and non-technical audiences Design scalable, modular systems that balance the need for speed with enterprise standards for reliability, security, and maintainability Participate in architecture reviews and Critical Design Reviews (CDRs), ensuring alignment with enterprise patterns and platform standards Create clear technical documentation: architecture diagrams, data flow maps, API contracts, and solution briefs Rapid Prototyping & Solution Delivery Design and deliver working prototypes for complex data and AI problems within compressed timeframes, often days to weeks Bring genuine curiosity to every engagement deeply understanding the business case, problem context, and constraints before converging on a solution Balance speed of delivery with enterprise standards your prototypes are production-ready, not throwaway Continuously iterate on solutions based on direct feedback from product managers, program leads, and end users AI Agent Development & Agentic Systems Design, build, and deploy AI agents and multi-agent systems that automate complex workflows end-to-end Develop and maintain agent skills discrete, reusable capabilities that compose into larger agentic pipelines Implement and extend MCP (Model Context Protocol) servers and clients to connect AI agents with enterprise tools, APIs, and data sources Build agent orchestration layers using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel Design evaluation harnesses, guardrails, and monitoring pipelines to ensure agent reliability and safety in production Stay current with the rapidly evolving agentic AI landscape and proactively introduce new techniques and tooling to the team AI & Data Engineering Build and deploy AI-powered features and pipelines that automate workflows, surface insights, and enhance decision-making Design and implement scalable data pipelines, APIs, and backend services that serve both internal tools and customer-facing products Integrate LLMs, RAG systems, and ML models into production data workflows Own data modeling, transformation, and quality across the solutions you deliver Collaboration & Stakeholder Engagement Embed directly with product, program, and engineering teams to co-define problems and co-deliver solutions Influence technical direction and build alignment across teams without relying on formal authority Communicate complex technical concepts clearly to non-technical business stakeholders in writing, in meetings, and in executive presentations Mentor and elevate junior engineers, sharing patterns and practices for agentic development, prompt design, and rapid delivery Foster a collaborative, low-ego team culture where speed and quality go hand in handQualificationsRequired 6+ years of professional software or data engineering experience, including solution design and architecture ownership Demonstrated ability to architect end-to-end data and AI systems from requirements through deployment with clear documentation and stakeholder communication Hands-on experience building AI agents, including defining agent skills, tool use, memory, and multi-step reasoning Working knowledge of MCP (Model Context Protocol) including building or consuming MCP servers to connect agents with external systems Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel Strong hands-on experience with data engineering: pipelines, ETL/ELT, data modeling, SQL and NoSQL databases Proficiency in Python Experience with cloud platforms (AWS, Azure, or GCP) and modern data stack tooling Exceptional communication and interpersonal skills you can earn trust quickly, navigate ambiguity, and drive alignment across diverse teams Comfort working in fast-paced environments with shifting priorities and high ownership expectations Preferred Experience with RAG architectures, vector databases (Pinecone, Weaviate, pgvector), semantic search, and building indexing systems and data processing pipelines Familiarity with prompt engineering, fine-tuning, and LLM evaluation techniques Experience with agent observability and tracing tools (LangSmith, Arize, Weights & Biases, or similar) Experience with AWS AgentCore building, deploying, and operating agents on the platform Knowledge of data orchestration tools (Airflow, Prefect, or dbt) Experience with containerization and CI/CD practices (Docker, Kubernetes, GitHub Actions) Background in real estate, financial services, or other data-intensive enterprise domains Experience facilitating technical discovery workshops, design sprints, or architecture reviews Contributions to open-source agentic or data projects, or a portfolio demonstrating rapid, creative problem-solvingSkillssolution architecture, Data Engineering, mcp, Model Context Protocol, python, ai agents, RAG, langchain, LangGraph, Vector Databases, AgentCore, docker, kubernetesTop Skills Detailssolution architecture,Data Engineering,mcp,Model Context Protocol,python,ai agentsAdditional Skills & Qualifications- 6+ years of professional software or data engineering experience- Experience with AWS, Azure, or GCP- Strong written and verbal communication skills- Ability to lead technical discovery and influence without authority- Comfortable working in fast-paced, ambiguous environments- Experience mentoring engineers or leading architecture reviews- Real estate, financial services, or enterprise-domain experience preferredExperience LevelExpert LevelSalaryDetermined by p3 or p4 level, and location, flexible Job Type & LocationThis is a Permanent position based out of Westmont, IL. Pay and BenefitsThe pay range for this position is $150000.00 - $180000.00/yr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.medical, dental, HSA, Vision Job Type & LocationThis is a Permanent position based out of Westmont, IL. Application DeadlineThis position is anticipated to close on Nov 19, 2026. Workplace TypeThis is a hybrid position in Westmont,IL.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.