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Forward Deployment Engineer Jobs in Minnesota (NOW HIRING)

Medtronic

Senior Solutions Deployment Engineer

Fridley, MN · On-site

$57 - $73.50/hr

A Day in the Life At Medtronic, we bring bold ideas forward with speed and decisiveness to put ... The Senior Solutions Deployment Engineer is responsible for deploying and enabling digital ...

Medtronic

Senior Solutions Deployment Engineer

Fridley, MN · On-site

$57 - $73.50/hr

A Day in the Life At Medtronic, we bring bold ideas forward with speed and decisiveness to put ... The Senior Solutions Deployment Engineer is responsible for deploying and enabling digital ...

Medtronic

Senior Solutions Deployment Engineer

Fridley, MN · On-site

$57 - $73.50/hr

A Day in the Life At Medtronic, we bring bold ideas forward with speed and decisiveness to put ... The Senior Solutions Deployment Engineer is responsible for deploying and enabling digital ...

Thomson Reuters

Lead AI Forward Engineer

Eagan, MN · On-site

$104K - $137K/yr

The Lead AI Forward Engineer designs and guides the delivery of AI-powered solutions that reduce ... You will own solution design from concept through deployment, ensuring solutions are scalable ...

THOMSON REUTERS

Lead AI Forward Engineer

Eagan, MN · Remote

$104K - $137K/yr

The Lead AI Forward Engineer designs and guides the delivery of AI-powered solutions that reduce ... You will own solution design from concept through deployment, ensuring solutions are scalable ...

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All JobsForward Deployment Engineer JobsForward Deployment Engineer Jobs in Minnesota

Forward Deployment Engineer information

See Minnesota salary details

$34.8K

$107.3K

$166.5K

How much do forward deployment engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for forward deployment engineer in Minnesota is $107,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $135,600.00 per year, depending on experience, location, and employer.

How does a Forward Deployment Engineer typically collaborate with clients and internal teams during a project?

Forward Deployment Engineers often serve as a bridge between clients and internal engineering or product teams. They work closely with clients to understand their unique requirements, configure solutions, and ensure successful deployments, frequently traveling to client sites. Internally, they collaborate with engineers, product managers, and support staff to relay client feedback, troubleshoot issues, and optimize system performance. This role requires excellent communication skills and adaptability, as each project may involve different stakeholders and technical challenges.

What is the difference between Forward Deployment Engineer vs Network Engineer?

AspectForward Deployment EngineerNetwork Engineer
Required CredentialsBachelor's in CS, EE, or related; certifications like CCNA, Cisco, or cloud certificationsBachelor's in CS, EE, or related; certifications like CCNA, CompTIA Network+
Work EnvironmentOn-site deployments, fieldwork, client sites, and data centersOffice-based, network infrastructure setup, maintenance, and troubleshooting
Industry UsageTech, telecom, cloud providers, hardware vendorsIT, telecom, enterprise networks, service providers

While both roles require networking knowledge and certifications like CCNA, Forward Deployment Engineers focus on deploying and supporting hardware and systems directly at client sites, often involving fieldwork. Network Engineers primarily design, implement, and maintain network infrastructure within organizations. The roles overlap in certifications and industry usage but differ in work environment and deployment focus.

What are the key skills and qualifications needed to thrive as a Forward Deployment Engineer, and why are they important?

To thrive as a Forward Deployment Engineer, you need strong analytical and problem-solving skills, a solid foundation in computer science or engineering, and relevant experience or a degree in these fields. Familiarity with programming languages (such as Python or Java), cloud platforms, and deployment/configuration management tools is typically required, along with knowledge of client-facing software solutions. Outstanding communication, adaptability, and teamwork skills help you understand client needs and collaborate effectively across teams. These skills ensure successful implementation and integration of complex software solutions in diverse client environments.

What are Forward Deployment Engineers?

Forward Deployment Engineers (FDEs) are technical professionals who work directly with clients to implement, customize, and deploy software solutions. They act as a bridge between engineering teams and customers, ensuring that products are successfully integrated into the client's environment and tailored to meet their specific needs. FDEs typically handle a mix of software engineering, problem-solving, and client-facing responsibilities, often traveling to customer sites to provide on-the-ground support. Their role is essential for organizations that offer complex technical products requiring hands-on deployment and adaptation.
What are popular job titles related to Forward Deployment Engineer jobs in Minnesota? For Forward Deployment Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Forward Deployment Engineer jobs in Minnesota look for? The top searched job categories for Forward Deployment Engineer jobs in Minnesota are:
Forward Deployment Engineer jobs near you
Infographic showing various Forward Deployment Engineer job openings in Minnesota as of July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $107,305 per year, or $51.6 per hour.

Forward Deployment Engineer

Tata Consultancy Service Limited

Eden Prairie, MN • On-site

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Role Name: AI/ML & Forward Deployed Engineer (8+ Years)
Role Overview
We are looking for an experienced AI/ML & Forward Deployed Engineer with 8+ years of engineering experience to deliver high-impact AI/ML (and GenAI, where applicable) solutions end-to-end. You will blend applied machine learning, software engineering, and stakeholder problem-solving to deploy production-grade systems that are scalable, secure, observable, and aligned to business KPIs.
This role is ideal for engineers who enjoy operating at the intersection of data + models + systems + real users, and who can thrive in ambiguous, fast-moving environments
Key Responsibilities
1) Use-Case Discovery & Forward Deployment
• Partner with stakeholders (business/product/customers) to identify and shape AI opportunities into well-defined use cases with success metrics, constraints, and rollout plans.
• Run workshops and technical discovery to assess feasibility, data readiness, integration needs, and operational risks.
• Drive rapid prototyping, pilot deployments, and iterative improvements based on real user feedback.
2) Applied ML Engineering (Classic ML + Deep Learning)
• Develop and improve ML solutions (classification, regression, ranking, forecasting, anomaly detection, NLP).
• Establish and maintain robust evaluation practices: offline metrics, validation strategies, experimentation, and A/B testing.
• Perform feature engineering, error analysis, model optimization, and performance tuning for production requirements.
3) GenAI / LLM Engineering (If Applicable)
• Build and productionize RAG (Retrieval-Augmented Generation) pipelines, including document ingestion, chunking strategy, embeddings, retrieval tuning, reranking, and response grounding.
• Implement guardrails and reliability patterns: prompt templates, tool/function calling, hallucination reduction, citation strategies, and fallback paths.
• Develop evaluation harnesses for GenAI: quality metrics, regression tests, safety tests, and human-in-the-loop workflows.
4) Productionization (MLOps / LLMOps)
• Package models into scalable services and deploy using Docker/Kubernetes and CI/CD.
• Implement model lifecycle management: model registry, versioning, automated retraining triggers, and governance workflows.
• Build monitoring and observability: drift detection, latency/throughput monitoring, error tracking, alerting, and rollback mechanisms.
5) Systems Integration & Platform Collaboration
• Build integration layers (REST/gRPC APIs, event-driven services) to embed AI capabilities into products and enterprise workflows.
• Collaborate with data engineers to design reliable pipelines and ensure data quality, lineage, and governance.
• Ensure secure and compliant design (PII/PHI handling, RBAC, secrets management, encryption, audit trails).
6) Technical Leadership & Enablement
• Provide technical guidance and mentoring to engineers; lead design reviews and establish best practices.
• Document solutions with architecture diagrams, runbooks, and operational playbooks.
• Create reusable accelerators (templates, libraries, patterns) to scale deployments across teams or customers.
Salary Range: $100,000- $120,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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