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Forward Deployment Engineer Jobs in Dedham, MA (NOW HIRING)

Axtria, Inc.

Forward Deployment Engineer

Waltham, MA · On-site

An Axtria Forward Deployment Engineer does not advise from the outside. They deploy forward - directly into a pharma client's environment, operating on the client's data, within the client ...

Axtria, Inc.

Forward Deployment Engineer

Waltham, MA · On-site

An Axtria Forward Deployment Engineer does not advise from the outside. They deploy forward -- directly into a pharma client's environment, operating on the client's data, within the client ...

Axtria, Inc

Forward Deployment Engineer

Boston, MA · On-site

$180 - $240/hr

An Axtria Forward Deployment Engineer does not advise from the outside. They deploy forward -- directly into a pharma client's environment, operating on the client's data, within the client ...

Pryzm Dynamics Inc.

Forward Deployed Engineer

Boston, MA · On-site

$90 - $120/hr

Contribute to internal knowledge bases, deployment playbooks, and engineering documentation What We ... forward deployed engineering experience, with a strong foundation in at least one backend language ...

Pryzm

Forward Deployed Engineer

Boston, MA · On-site

$100 - $130/hr

Contribute to internal knowledge bases, deployment playbooks, and engineering documentation What We ... forward deployed engineering experience, with a strong foundation in at least one backend language ...

Piaggio Fast Forward

Dev Ops Engineer

Boston, MA · On-site

$115K - $135K/yr

Piaggio Fast Forward (PFF) is seeking a highly technical DevOps Engineer to help build and scale the cloud, automation, and deployment infrastructure powering gita, kilo , our automotive products and ...

BENTLEY SYSTEMS, INC.

Sr. Optimizely Developer

Boston, MA · On-site

$130 - $180/hr

Personalization Deployment: Engineer targeted, brand-compliant personalization campaigns tailored ... AI & Speed: A forward-thinking, "go fast" mentality with demonstrated experience using AI ...

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Forward Deployment Engineer information

See Dedham, MA salary details

$36.5K

$112.5K

$174.6K

How much do forward deployment engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for forward deployment engineer in Dedham, MA is $112,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $142,300.00 per year, depending on experience, location, and employer.

What is a forward deployment engineer?

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 the key skills and qualifications needed to thrive as a forward deployment engineer?

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.

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 do forward deployment engineers do?

Forward deployment engineers are responsible for deploying, maintaining, and troubleshooting hardware and software systems at client sites or in the field. They often work closely with customers to ensure systems operate effectively and may require skills in networking, scripting, and technical support. Their role involves on-site presence, rapid problem resolution, and ensuring operational readiness of deployed solutions.

What cities near Dedham, MA are hiring for Forward Deployment Engineer jobs?

Cities near Dedham, MA with the most Forward Deployment Engineer job openings:

Forward Deployment Engineer jobs near you
Infographic showing various Forward Deployment Engineer job openings in Dedham, MA as of August 2026, with employment types broken down into 80% Full Time, 14% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $112,541 per year, or $54.1 per hour.

Forward Deployment Engineer

Waltham, MA • On-site

Axtria, Inc.
51 - 200 employees
Learn more about Axtria, Inc.external

Full-time

Posted 15 days ago

Job description

Our mission: Axtria is building the pharmaceutical industry's largest Forward Deployment Engineering workforce - 1,000 certified FDEs embedded across the world's leading pharma and life sciences organizations. We are hiring across multiple levels. If you have 10 or more years of engineering, data, and AI experience in pharma or life sciences - and you have shipped production AI, not just built PoCs - we want to talk to you.
Position Summary:
An Axtria Forward Deployment Engineer does not advise from the outside. They deploy forward - directly into a pharma client's environment, operating on the client's data, within the client's commercial or clinical operations - and build production AI systems that real teams use. The role demands three capabilities simultaneously: the technical depth to architect and build production AI end-to-end, the pharma domain knowledge to understand why the system needs to work the way it does, and the consulting maturity to operate independently at the client without needing to be managed.
This is not a proof-of-concept role. FDEs scope, build, and ship. The seniority of your level determines the scale and complexity of the engagement you lead; the core mandate - production AI in the client environment - is the same across all levels
KEY RESPONSIBILITIES:
Embedded Client Delivery
  • Embed directly within pharma client organizations - operating as a trusted technical peer, not a vendor - and own the design, build, and deployment of production AI systems end-to-end on the client's own infrastructure.
  • Lead the technical workstream and direct teams of engineers - Agent Pipeline Engineers and AI-Augmented Engineers - under your architecture and delivery ownership.
  • Hold the technical client relationship at Director, VP, and CDO level: scoping problems, presenting architecture trade-offs, defending design decisions under scrutiny, and translating technical outcomes into business language

AI Architecture and Engineering
  • Architect multi-agent AI systems for pharma environments - spanning orchestration patterns, tool and function integration, retrieval-augmented generation, memory architectures, human-in-the-loop design, evaluation pipelines, and production MLOps.
  • Build on the technology stacks clients already operate: Databricks (Delta Lake, Mosaic AI, Genie), Snowflake (Snowpark, Cortex AI, Cortex Analyst), AWS (Bedrock Agents, SageMaker), and the Claude and Anthropic API stack with Model Context Protocol
  • Design and implement AI evaluation frameworks appropriate for regulated pharma environments - probabilistic quality thresholds, RAGAS, LLM-as-judge, adversarial red-teaming, and audit-trail-compliant output governance.
  • Ensure systems are production-grade: observable, maintainable, secure, and compliant with pharma data governance requirements including HIPAA, GDPR, and applicable FDA AI/ML guidance.
  • Stay current with the agentic AI ecosystem - frameworks, model capabilities, evaluation techniques, and orchestration protocols - and translate emerging capability into deployment-relevant technical decisions

Pharma Domain Translation
  • Translate pharma commercial and clinical business problems into AI-solvable architectures without requiring a domain primer from the client - the depth of your domain expertise is part of what you bring to the engagement.
  • Validate that AI outputs are accurate against pharma business logic and commercial or clinical norms - not just technically correct but domain-defensible and explainable to the end users who act on them.
  • Serve as the connective layer between the client's business problem and the technical solution, eliminating the scoping ambiguity that causes most pharma AI deployments to stall before production

Program Contribution and Methodology
  • Contribute to Axtria's growing library of pharma AI deployment patterns, reference architectures, and reusable accelerators - ensuring each client engagement adds to the institutional knowledge base rather than staying isolated in a single account.
  • Identify opportunities to extend scope within existing client engagements by recognising where additional AI workstreams could unlock further commercial or clinical value.
  • Mentor junior FDEs and AI-Augmented Engineers within your engagement team, and contribute to the technical standards and delivery methodology of the FDE program.

REQUIRED QUALIFICATIONS:
  • 10 or more years of experience in engineering, data engineering, analytics engineering, or AI/ML roles, with direct pharma or life sciences client exposure across a substantial portion of that tenure
  • Pharma domain experience is mandatory. You understand how pharma organisations work without needing orientation: commercial depth in SFE, IC design, market access, omnichannel, KAM, or patient services; or clinical depth in trial operations, CDASH/SDTM, site analytics, RWE, HEOR, or regulatory data. You do not need a pharma primer to start this role.
  • Production AI engineering is required - you have shipped, not just experimented. You have built AI systems that ran in production: LLM-based agents, RAG pipelines, multi-agent workflows, or clinical AI systems with real users in regulated environments. Notebooks, PoCs, and sandbox projects do not qualify for this requirement.
  • Strong engineering foundations: Python, SQL, cloud infrastructure (AWS, Azure, or GCP), data pipeline architecture, and API design - you write production-grade code as a matter of course, not occasionally.
  • Depth on at least one pharma AI platform - Databricks, Snowflake, AWS Bedrock, or the Claude and Anthropic API stack - and working fluency across the others sufficient to engage in architecture trade-off discussions.
  • Demonstrated ability to operate in direct client-facing roles at senior stakeholder level: scoping ambiguous problems, managing technical expectations, presenting architecture decisions to non-technical executives, and working independently without a delivery management layer above you.
  • Experience working in sprint-based, high-velocity delivery cycles where scope is defined, engineered, and shipped within weeks rather than quarters.

PREFERRED QUALIFICATIONS
Prior experience in a technology consulting, systems integrator, or AI services firm with pharma or life sciences clients - specifically in delivery roles rather than advisory.
  • Experience leading engineering teams of three or more people across concurrent AI workstreams, with accountability for technical quality and delivery timelines
  • Familiarity with AI governance frameworks, responsible AI design, and pharma-specific regulatory AI considerations including FDA AI/ML Software as a Medical Device guidance, ICH guidelines applicable to AI-generated evidence, and GxP data integrity requirements.
  • Industry certification on one or more of the following is a big plus: AWS Certified AI Practitioner (AIF-C01), Databricks Certified Generative AI Engineer Associate, SnowPro Advanced Data Engineer (DEA-C01), or Claude Certified Architect Foundations (CCA-F)

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