AVP, Forward Deployed Engineer
About The Position
The AVP, Forward Deployed Engineer is responsible for partnering directly with business stakeholders, portfolio companies, and technology teams to design and deliver scalable AI, data, and cloud solutions that solve complex business challenges. This role sits at the intersection of software engineering, data engineering, and consulting, translating business requirements into production-ready solutions that drive measurable outcomes. The ideal candidate combines strong Python engineering expertise with experience building modern cloud-native solutions on Azure. They are comfortable working directly with end users, rapidly prototyping solutions, developing scalable data pipelines, and deploying AI-enabled applications using modern data platforms such as Databricks and Snowflake.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
- 7+ years of experience in software, data, or platform engineering
- Advanced Python development experience with strong software engineering fundamentals
- Experience designing and deploying cloud-native solutions in Azure
- Experience building and supporting distributed, scalable applications and microservices
- Experience developing and consuming REST APIs
- Strong understanding of event-driven architectures and serverless computing
- Experience with CI/CD pipelines, automated testing, and DevOps best practices
- Strong communication and stakeholder management skills
- Proven ability to translate business requirements into technical solutions
Nice To Haves
- Hands-on experience with Databricks and modern data engineering frameworks
- Experience with Snowflake data warehousing and analytics platforms
- Experience building AI/ML-enabled applications and solutions
- Familiarity with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks
- Experience with containerization technologies such as Docker and Kubernetes
- Experience with monitoring, observability, and application performance management tools
- Consulting or customer-facing solution delivery experience
- Experience working across multiple business functions and executive stakeholders
Responsibilities
- Partner with business leaders and portfolio companies to identify opportunities for AI, automation, and data-driven solutions
- Design, build, and deploy modern cloud-native applications using Python and Azure
- Develop scalable data pipelines and data products leveraging Databricks and Snowflake
- Build AI-powered solutions that improve business processes and decision-making
- Lead technical discovery sessions and translate business needs into architecture and implementation plans
- Develop APIs, microservices, and event-driven applications supporting enterprise platforms
- Drive best practices around software development, testing, security, and automation
- Collaborate closely with product managers, data engineers, architects, and business stakeholders
- Mentor engineers and contribute to technical standards and engineering excellence
- Stay current on emerging AI, cloud, and data technologies and identify opportunities for adoption
Benefits
- health insurance coverage
- retirement savings plan
- paid holidays
- paid time off (PTO)
- discretionary bonus
- incentive compensation
- Competitive salary
- overall compensation
- 401(k)
- Hybrid Work Policy
- Productivity Hours – weekly meeting-free work time
- Summer Fridays
- Work From Anywhere Month
- In-house and external learning & development opportunities
- Generous health insurance and wellness benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
