AVP, Software & AI Engineer

DataJobs

Dallas (TX)

Hybrid

USD 127,000 - 170,000

Full time

2 days ago
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Benefits offered by this job

Hybrid Work Policy
Productivity Hours
Summer Fridays
Work From Anywhere Month
In-house and external learning & d
401(k)
Health insurance

Job summary

Revantage Corporate Services, LLC is seeking an AVP, Software & AI Engineer to turn business goals into production-ready AI, data and cloud solutions. This hybrid Dallas, TX role offers a base salary of $127,000 to $170,000 with 401(k) support and time to focus with Productivity Hours.

You’ll have learning opportunities, generous health coverage, and flexible perks like Summer Fridays and a Work From Anywhere Month.

Qualifications

  • 7+ years of experience in software, data, or platform engineering.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field required.
  • Advanced Python development with strong software engineering fundamentals.
  • Experience deploying cloud-native solutions in Azure.
  • Hands-on experience building distributed, scalable applications and microservices.
  • Experience developing and consuming REST APIs and event-driven architectures.
  • Familiarity with LLMs, RAG, and AI orchestration frameworks.
  • Experience with Docker, Kubernetes, CI/CD, monitoring, and observability.

Responsibilities

  • Partner with business leaders 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 with 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 DevOps.
  • Mentor engineers and align delivery with priorities across stakeholders.

Skills

Advanced Python
Azure
Databricks
Snowflake
REST APIs
CI/CD pipelines
Docker
Kubernetes
Event-driven architectures
Serverless computing
LLMs
RAG
AI orchestration frameworks
Microservices
Distributed applications
Data engineering
Communication skills
Stakeholder management

Education

Bachelor’s degree

Tools

Databricks
Snowflake
Azure
Docker
Kubernetes
REST APIs
CI/CD pipelines
AI/ML frameworks

Job description

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 DevOps 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, DevOps, microservices, event-driven architectures, serverless computing, LLMs, RAG, AI orchestration frameworks, Docker, Kubernetes, monitoring, observability, and application performance management tool….

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