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Forward Jobs in Minnesota (NOW HIRING)

Lead AI Forward Engineer

Eagan, MN ยท Remote

$104K - $137K/yr

The Lead AI Forward Engineer designs and guides the delivery of AI-powered solutions that reduce operational toil and accelerate technology teams across the CIO organization. This role operates as a ...

CDL-A Owner Operator Driver

Delano, MN ยท On-site

$4.1K - $5.2K/wk

At Forward Air, Owner Operators aren't just drivers - they're business partners. Forward is built around helping Owner Operators run a stronger, more profitable operation, with programs designed to ...

CDL-A Owner Operator Driver

Minneapolis, MN ยท On-site

$4.1K - $5.2K/wk

At Forward Air, Owner Operators aren't just drivers - they're business partners. Forward is built around helping Owner Operators run a stronger, more profitable operation, with programs designed to ...

CDL-A Owner Operator Driver

Le Sueur, MN ยท On-site

$4.1K - $5.2K/wk

At Forward Air, Owner Operators aren't just drivers - they're business partners. Forward is built around helping Owner Operators run a stronger, more profitable operation, with programs designed to ...

CDL-A Owner Operator Driver

Cambridge, MN ยท On-site

$4.1K - $5.2K/wk

At Forward Air, Owner Operators aren't just drivers - they're business partners. Forward is built around helping Owner Operators run a stronger, more profitable operation, with programs designed to ...

CDL-A Owner Operator Driver

Hutchinson, MN ยท On-site

$4.1K - $5.2K/wk

At Forward Air, Owner Operators aren't just drivers - they're business partners. Forward is built around helping Owner Operators run a stronger, more profitable operation, with programs designed to ...

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Showing results 1-20

Forward information

See Minnesota salary details

$36.2K

$88.9K

$117K

How much do forward jobs pay per year?

As of Aug 8, 2026, the average yearly pay for forward in Minnesota is $88,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $102,800.00 per year, depending on experience, location, and employer.

What is the difference between Forward vs Logistics Coordinator?

AspectForwardLogistics Coordinator
Primary RoleArranges transportation and shipping of goodsCoordinates logistics activities, including scheduling and tracking shipments
Required CredentialsKnowledge of shipping regulations, logistics softwareSimilar credentials, often with additional project management skills
Work EnvironmentWarehouses, shipping docks, freight companiesOffices, warehouses, supply chain environments
Industry UsageFreight, shipping, import/exportSupply chain, distribution, manufacturing

While both Forward and Logistics Coordinator roles involve managing the movement of goods, Forward typically focuses on arranging transportation and shipping logistics, often within freight or shipping companies. Logistics Coordinators handle broader supply chain coordination, including scheduling, tracking, and communication across various logistics functions. Both roles require similar credentials, but Forward roles are more specialized in freight forwarding processes.

Infographic showing various Forward job openings in Minnesota as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $88,860 per year, or $42.7 per hour.

Forward Deployment Engineer

Tata Consultancy Service Limited

Eden Prairie, MN โ€ข On-site

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 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
โ€ข Partner with stakeholders (business/product/customers) to identify and shape AI opportunities into well-defined use cases with success metrics, constraints, and rollout plans.
โ€ข Run workshops and technical discovery to assess feasibility, data readiness, integration needs, and operational risks.
โ€ข Drive rapid prototyping, pilot deployments, and iterative improvements based on real user feedback.
2) Applied ML Engineering (Classic ML + Deep Learning)
โ€ข Develop and improve ML solutions (classification, regression, ranking, forecasting, anomaly detection, NLP).
โ€ข Establish and maintain robust evaluation practices: offline metrics, validation strategies, experimentation, and A/B testing.
โ€ข Perform feature engineering, error analysis, model optimization, and performance tuning for production requirements.
3) GenAI / LLM Engineering (If Applicable)
โ€ข Build and productionize RAG (Retrieval-Augmented Generation) pipelines, including document ingestion, chunking strategy, embeddings, retrieval tuning, reranking, and response grounding.
โ€ข Implement guardrails and reliability patterns: prompt templates, tool/function calling, hallucination reduction, citation strategies, and fallback paths.
โ€ข Develop evaluation harnesses for GenAI: quality metrics, regression tests, safety tests, and human-in-the-loop workflows.
4) Productionization (MLOps / LLMOps)
โ€ข Package models into scalable services and deploy using Docker/Kubernetes and CI/CD.
โ€ข Implement model lifecycle management: model registry, versioning, automated retraining triggers, and governance workflows.
โ€ข Build monitoring and observability: drift detection, latency/throughput monitoring, error tracking, alerting, and rollback mechanisms.
5) Systems Integration & Platform Collaboration
โ€ข Build integration layers (REST/gRPC APIs, event-driven services) to embed AI capabilities into products and enterprise workflows.
โ€ข Collaborate with data engineers to design reliable pipelines and ensure data quality, lineage, and governance.
โ€ข Ensure secure and compliant design (PII/PHI handling, RBAC, secrets management, encryption, audit trails).
6) Technical Leadership & Enablement
โ€ข Provide technical guidance and mentoring to engineers; lead design reviews and establish best practices.
โ€ข Document solutions with architecture diagrams, runbooks, and operational playbooks.
โ€ข 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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