About the Position

Forward Deployed Engineer

About HSO

HSO is a global Business Transformation Partner with deep industry expertise and a long-standing strategic relationship with Microsoft. We help organizations unlock the full potential of Microsoft Dynamics 365, Azure, Data, and AI technologies to modernize operations, accelerate innovation, and deliver meaningful business outcomes.

In 2026, HSO achieved Microsoft Frontier Partner status, recognizing our advanced capabilities across Microsoft Cloud and AI and our ability to help customers move beyond AI experimentation into secure, governed, enterprise-scale production.

With operations across Europe, North America, and Asia, we combine industry knowledge, technical excellence, and a practical, people-first approach to transformation.

As we continue to expand our AI capabilities, we’re building a new generation of customer-facing engineering talent to help organizations turn the potential of AI and agentic technologies into real, measurable value.

Responsibilities

Own Customer Outcomes

Embed rapidly within customer teams and develop a strong understanding of their priorities, operating processes, systems, data, and constraints.
Translate ambiguous business problems and defined customer outcomes into clear technical delivery plans.
Act as the technical lead throughout an engagement, guiding customer sponsors, business users, technical teams, and HSO colleagues towards successful delivery.
Build trusted relationships with senior operational and technical stakeholders, including CTO and CIO-level leaders.
Take ownership for delivering solutions that create measurable customer value rather than simply completing technical tasks.

Lead Discovery and Solution Design

Lead technical discovery workshops to understand customer challenges and identify high-value AI, data, and automation opportunities.
Assess business processes, data readiness, data architecture, integration points, security requirements, technical risks, and operational constraints.
Understand the customer’s existing data platform landscape and identify how data needs to be accessed, transformed, governed, or modernized to support the required solution.
Apply a problem-first approach to identify the smallest valuable solution that can be built and proven quickly.
Design end-to-end solution architectures that balance speed, scalability, maintainability, security, and responsible AI.
Turn discovery into a pragmatic roadmap from prototype through to production.

Build and Ship Production Solutions

Design, build, integrate, test, and deploy enterprise-grade solutions using modern cloud, data, and AI technologies.
Develop AI-powered applications, copilots, agents, automations, integrations, and workflow solutions.
Build solutions that make effective use of modern enterprise data platforms and ensure AI applications are supported by reliable, governed, and accessible data.
Integrate solutions with platforms such as Microsoft Fabric, Azure Data Services, Dynamics 365, Power Platform, Salesforce, SAP, ServiceNow, and customer-owned systems, APIs, and data platforms.
Apply modern engineering practices including source control, CI/CD, automated testing, infrastructure as code, observability, and secure development.
Work iteratively. Deliver value quickly, learn from real-world usage, and progressively harden solutions for enterprise production.

Engineer AI and Agentic Solutions

Design and implement robust agentic workflows, human-in-the-loop processes, and, where appropriate, multi-agent architectures.
Apply modern techniques across retrieval, grounding, orchestration, tool integration, context engineering, and evaluation.
Build evaluation frameworks and guardrails to test AI behavior, reliability, and quality before and after deployment.
Implement appropriate responsible AI, security, monitoring, and governance controls.
Ensure data quality, lineage, governance, and availability are considered as fundamental components of AI solution design.
Use operational data and user feedback to continuously improve solution quality and performance.

Create Reusable HSO Capability

Reuse existing HSO assets, accelerators, and delivery patterns wherever they improve speed and quality.
Turn lessons from customer engagements into reusable assets, reference architectures, engineering patterns, and playbooks.
Contribute actively to HSO’s AI, Data, Frontier, and Horizon engineering communities.
Share practical knowledge across regions, practices, and delivery teams.
Support and mentor other engineers as the Forward Deployed Engineering capability grows.

Requirements

Significant experience across software engineering, cloud engineering, data engineering, solution development, technical consulting, or enterprise technology delivery, with senior-level ownership of complex solutions.
Strong hands-on experience building and operating production-grade solutions on at least one major cloud platform.
Strong understanding and practical experience of modern enterprise data platforms, including data architecture, integration, transformation, governance, and the role data plays in enabling AI and application workloads.
Experience with Microsoft data technologies such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Azure Databricks, OneLake, or comparable enterprise data platforms would be highly valuable.
Excellent coding capability in a modern language such as Python, C#, TypeScript, JavaScript, or Java, with a track record of producing maintainable, production-quality software.
Practical experience designing, building, and deploying AI-powered applications using platforms such as Azure AI, OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, or comparable technologies.
Hands-on experience with large language models, prompting, retrieval-augmented generation, evaluation, and agent orchestration.
Strong understanding of APIs, integrations, data platforms, and modern distributed application architectures.
Experience with modern engineering and DevOps practices including CI/CD, automated testing, source control, and infrastructure as code.
Strong customer-facing experience in consulting, transformation, delivery, or technical leadership.
The ability to work effectively where requirements are incomplete, priorities evolve quickly, and the right answer is not immediately obvious.
The judgement to balance engineering excellence with speed, practicality, and customer value.

Nice to Have

Certifications across Microsoft Azure, Microsoft Fabric, AWS, Google Cloud, or leading AI platforms.
Experience working with enterprise platforms such as Dynamics 365, Power Platform, Salesforce, SAP, ServiceNow, or similar.
Experience implementing responsible AI, AI governance, evaluation frameworks, or model monitoring in enterprise environments.
Experience designing or delivering modern data platforms that support analytics, operational applications, or AI workloads.
Experience across industries such as Manufacturing, Retail, Financial Services, Public Sector, or Professional Services.
A track record of turning successful customer solutions into reusable patterns or accelerators.
Experience leading small, highly capable engineering teams from discovery through to production.

We Offer

Competitive base salary
Performance-related element designed to recognize both individual contribution and the value created through successful customer delivery
HSO’s standard employee benefits

About the Company

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Forward Deployed Engineer

Job description