Forward Deployed Engineer, Microsoft AI & Data

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A leading global professional services organization is seeking a Forward Deployed Engineer, Microsoft AI & Data to help enterprise clients transform AI initiatives into scalable business solutions. This role focuses on combining advanced AI engineering, cloud technologies, and client collaboration to design, prototype, and deploy Generative AI solutions that deliver measurable business impact across industries.

The successful candidate will work closely with client stakeholders, engineers, and product teams to rapidly develop and implement enterprise AI applications using Microsoft AI technologies. This position requires strong software engineering expertise, hands-on experience with Generative AI, and the ability to deliver production-ready solutions in fast-paced environments.

Key Responsibilities

• Partner with clients to identify business needs and translate high-value Generative AI use cases into scalable solutions.
• Collaborate with business leaders, product owners, architects, and engineering teams to align technical delivery with business objectives.
• Lead client workshops and technical working sessions to define AI solution strategies.
• Design, prototype, and deploy production-ready AI applications using Microsoft AI technologies.
• Contribute independently within engineering delivery teams while mentoring junior engineers.
• Build AI-enabled applications, agentic platforms, and enterprise workflows across AI platforms.
• Develop scalable AI engineering patterns, reusable frameworks, and human-in-the-loop workflows.
• Apply architectural best practices that balance quality, security, latency, cost, and model performance.
• Deliver high-quality software using testing, CI/CD, logging, version control, and documentation best practices.
• Design extensible platform capabilities and contribute reusable code libraries, prompt libraries, runbooks, and reference implementations.
• Support sprint planning, solution estimation, and technical delivery throughout the software development lifecycle.

Required Qualifications

• Bachelor’s degree (or equivalent) in Computer Science, Data Science, Engineering, or a related field.
• 3+ years of experience in software engineering, data engineering, data science, or analytics engineering.
• 1+ year of hands-on experience building and deploying Generative AI or Large Language Model (LLM) solutions in production or client environments.
• 1+ year of hands-on experience with Microsoft AI & Data technologies, including Azure AI Foundry.
• 1+ year of experience leading project workstreams and translating business requirements into AI solutions.
• 1+ year of experience developing reliable, maintainable, and well-documented software.
• Willingness to travel approximately 50%, depending on project and client requirements.
• Eligibility to work within applicable employment authorization requirements. Limited immigration sponsorship may be available.

Preferred Qualifications

• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Proven ability to collaborate directly with client engineering teams and business stakeholders in fast-paced delivery environments.
• Experience with data engineering technologies including Spark, Airflow, dbt, streaming platforms, and data modeling.
• Knowledge of machine learning, feature engineering, experimentation, or model evaluation.
• Experience implementing MLOps or LLMOps practices, including evaluation frameworks, model monitoring, and prompt management.
• Experience integrating LLM solutions with enterprise systems using APIs, microservices, or event-driven architectures.
• Experience working within hybrid onshore and offshore engineering teams.
• Understanding of enterprise security, privacy, governance, and compliance best practices for AI solutions.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.