Ai Data Engineering Architect

Description

a 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 Responsibilities

Solution 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 hand

Qualifications

Required

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-solving

Skills

solution architecture, Data Engineering, mcp, Model Context Protocol, python, ai agents, RAG, langchain, LangGraph, Vector Databases, AgentCore, docker, kubernetes

Top Skills Details

solution architecture,Data Engineering,mcp,Model Context Protocol,python,ai agents

Additional 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 preferred

Experience Level

Expert Level

Salary

Determined by p3 or p4 level, and location, flexible

This is a Permanent position based out of Westmont, IL.

The 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

This is a Permanent position based out of Westmont, IL.

This position is anticipated to close on Nov 19, 2026.

This 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.