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AVP, Software & AI Engineer

Remote / Online - Candidates ideally in
Dallas, Dallas County, Texas, 75215, USA
Listing for: DataJobs
Remote/Work from Home position
Listed on 2026-10-05
Job specializations:
  • Software Development
    Cloud Engineer - Software, AI Engineer (Applied/Software), DevOps
Salary/Wage Range or Industry Benchmark: 127000 - 170000 USD Yearly USD 127000.00 170000.00 YEAR
Job Description & How to Apply Below

Join Revantage Corporate Services, LLC as an AVP, Software & AI Engineer and help turn business goals into production-ready AI, data, and cloud solutions. This hybrid role in Dallas, TX offers a competitive base salary of $127,000 to $170,000 annually along with overall compensation and 401(k) support, plus dedicated time to focus with Productivity Hours (weekly meeting-free work time). You will also have access to in-house and external learning & development opportunities
, generous health coverage, and a flexible cadence including Summer Fridays and a Work From Anywhere Month
.

What you’ll do
  • Partner with business leaders and portfolio companies to identify opportunities for AI, automation, and data-driven solutions
  • Design, build, and deploy cloud-native applications using Python and Azure
  • Create scalable data pipelines and data products leveraging Databricks and Snowflake
  • Develop AI-powered solutions to improve business processes and decision-making
  • Lead technical discovery sessions and translate business needs into architecture and implementation plans
  • Build APIs
    , microservices
    , and event-driven applications that support enterprise platforms
  • Drive best practices across software development, including testing, security, and automation
  • Collaborate with product managers, data engineers, architects, and business stakeholders to align delivery with priorities
  • Mentor engineers and contribute to technical standards and engineering excellence
  • Stay current on emerging AI, cloud, and data technologies and identify opportunities for adoption
What you’ll bring
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
  • 7+ years of experience in software, data, or platform engineering
  • Advanced Python development with strong software engineering fundamentals
  • Experience designing and deploying cloud-native solutions in Azure
  • Hands-on 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 Dev Ops best practices
  • Strong communication and stakeholder management skills
  • Proven ability to translate business requirements into technical solutions
  • 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 LLMs
    , Retrieval-Augmented Generation (RAG), and AI orchestration frameworks
  • Experience with 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
Compensation and benefits
  • Base salary: $127,000 to $170,000 annually
  • Health insurance coverage and wellness benefits
  • Retirement savings plan and 401(k)
  • Paid holidays and PTO
  • Hybrid Work Policy
  • Productivity Hours (weekly meeting-free work time)
  • Summer Fridays and Work From Anywhere Month
  • In-house and external learning & development opportunities
  • Discretionary bonus and incentive compensatio…
Tools you’ll work with

Python
, Azure
, Databricks
, Snowflake
, REST APIs
, CI/CD pipelines
, Dev Ops
, microservices
, event-driven architectures
, serverless computing
, LLMs
, RAG
, AI orchestration frameworks
, Docker
, Kubernetes
, monitoring
, observability
, and application performance management tool….

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