8 hours ago

Lead AI Software Engineer

Wiraa

Hybrid
Full Time
$162,000
Hybrid

Job Overview

Job TitleLead AI Software Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$162,000
LocationHybrid

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Job Description

Lead AI Software Engineer at Maximus

Maximus is a leading provider of government services and solutions, dedicated to improving the efficiency and effectiveness of public programs through innovative technology and expert delivery. With a strong focus on social impact, Maximus partners with federal, state, and local agencies to deliver critical services in areas such as health, education, and workforce development. The company is committed to fostering a diverse and inclusive workplace that values continuous learning, collaboration, and technological advancement, ensuring its solutions meet the evolving needs of communities and government entities worldwide.

About The Role

We now have an exciting opportunity for a Lead AI Software Engineer to join the Maximus AI Accelerator team supporting enterprise-wide initiatives. This role is designed for an accomplished, hands-on individual contributor who is also a team player, capable of leading the development and optimization of scalable, secure AI systems. The successful candidate will be responsible for architecting AI solutions, integrating models into production environments using MLOps best practices, and ensuring systems are resilient, compliant, and efficient. This position requires a strategic thinker with strong problem-solving skills, capable of managing risks and adapting to fast-paced technological changes. The role involves collaborating across functions, communicating effectively with stakeholders, and contributing to project delivery and solutioning efforts to capture new business opportunities. This is a remote position, and U.S. citizenship is required due to government contract stipulations.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
  • 7+ years of relevant professional experience in software development and AI/ML
  • 3+ years of hands-on experience with Artificial Intelligence and Machine Learning
  • Experience with Python programming and related frameworks such as TensorFlow, PyTorch, and Pandas
  • Proficiency in software engineering, DevOps practices, and modern development methodologies
  • Experience with API programming and Linux environments
  • Experience working as a contributor within a team setting
  • 4+ years of experience with cloud solutioning (AWS, Azure, GCP)
  • Strong understanding of data structures, software engineering principles, and computing infrastructures
  • Professional certifications in cloud platforms (preferred)

Responsibilities

  • Design and develop advanced AI software applications ensuring scalability, performance, and seamless integration with enterprise systems
  • Develop and modify systems software to support hardware control and internal business applications
  • Create descriptive, diagnostic, predictive, and prescriptive insights and algorithms
  • Apply experimental methodologies, statistical analysis, optimization, and machine learning techniques using appropriate coding languages
  • Lead technical implementation efforts, translating complex algorithms into production-ready code while mentoring junior engineers
  • Collaborate across teams to advance the responsible use of AI, ML, and data science solutions throughout the enterprise
  • Contribute to the development and dissemination of best practices, playbooks, and lessons learned in AI deployment
  • Support the creation of AI-driven solutions leveraging Computer Vision, Natural Language Processing, Large Language Models, and classical machine learning
  • Stay current with emerging AI technologies and evaluate their applicability for operational environments
  • Build reference implementations of AI and advanced analytics solutions to meet customer needs
  • Automate workflows, implement CI/CD pipelines, and promote DevSecOps practices in project development

Benefits

  • Competitive salary range of $152,000 to $172,000 annually
  • Comprehensive health insurance coverage
  • Retirement savings plans and financial benefits
  • Paid holidays and paid time off
  • Opportunities for professional development and continuous learning
  • Flexible remote work environment
  • Supportive and inclusive company culture

Equal Opportunity

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, or other legally protected characteristics. We are committed to creating a diverse and inclusive workplace where all employees are valued and empowered to contribute to our mission of improving public services through innovative solutions.

Key skills/competency

  • AI/ML Development
  • MLOps Best Practices
  • Python Programming
  • Cloud Solutioning (AWS, Azure, GCP)
  • Software Architecture
  • DevOps/DevSecOps
  • Computer Vision
  • Natural Language Processing (NLP)
  • Large Language Models (LLMs)
  • Technical Leadership

Tags:

Lead AI Software Engineer
AI development
MLOps
system integration
solution architecture
technical leadership
Python programming
machine learning
data science
DevSecOps
computer vision
NLP
LLMs
TensorFlow
PyTorch
Pandas
AWS
Azure
GCP
Linux
CI/CD
APIs
MLOps tools

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How to Get Hired at Wiraa

  • Research Maximus's mission: Study their focus on government services, social impact, and innovative technology on their website and LinkedIn.
  • Highlight AI leadership: Showcase your experience in architecting, developing, and optimizing scalable AI systems and mentoring junior engineers.
  • Tailor resume for MLOps: Emphasize hands-on experience with Python, cloud platforms (AWS, Azure, GCP), and CI/CD pipelines.
  • Prepare for technical depth: Expect questions on data structures, software engineering principles, machine learning techniques, and AI frameworks.
  • Demonstrate collaborative spirit: Be ready to discuss cross-functional project success, effective stakeholder communication, and responsible AI practices.

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