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Connexion Systems + Engineering
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Emily Donahue
AI Engineer
Job Description
Connexion’s mission is to provide "best in class" services to job seekers. We strive to achieve excellence in job placement, staffing, and recruiting services, while treating candidates with the professionalism and respect they deserve.
Title: AI Engineer
Hiring Organization: Connexion Systems & Engineering
Compensation, Benefits, and Employment Type
Job Title: AI Engineer
Pay Rate: $62.94 to $97.90 per Hour
Location: 360 Huntington Avenue Boston MA 02115
Duration: 12-month contract
Shift: 1st Shift M-F
VMS ID Number: NEU23072025
Notes from Intake:
Overview:
The implementation of AI systems presents a significant opportunity to enhance teaching and learning, research, and administrative operations while freeing operational time and cost for reinvestment.
To realize this value, specialized expertise is required that does not currently exist within the central IT organization. The proposed AI Engineer, AI Operations Specialist, and AI Prompt Engineer roles represent critical first capabilities needed to further design, implement, and maintain enterprise-grade AI systems and their supporting data pipelines university-wide.
These specialized positions will enable automation of routine functions across the institution and power the wide and expanding array of AI-based institutional initiatives, while creating a stronger foundation for future AI adoption throughout the global campus network.
The specialized knowledge required—spanning data pipeline engineering, machine learning implementation, and AI system operations—is distinct from traditional IT roles. By establishing these positions now, we will strengthen its position at the forefront of AI adoption in higher education, enhancing student experiences, accelerating research capabilities, and improving administrative efficiency across all university functions. These roles represent both a strategic investment in the university's future and a fiscally responsible approach to institutional advancement through technological innovation.
Qualifications:
Please use the apply button to submit your resume for consideration. A Connexion Representative will contact you shortly.
You may also send your resume and cover letter via email to the recruiter listed below. You MUST include the Job# and Job Title in your subject line.
If you are active in a job search but this job is not for you, please reach out to jobpostings@csetalent.com. We would be glad to help you find the perfect job!
Title: AI Engineer
Hiring Organization: Connexion Systems & Engineering
Compensation, Benefits, and Employment Type
- Duration: 12-month contract
- Pay rate: $62.94-$97.90
- Job Location: Boston, MA
- Schedule: Hybrid, M-F 1st Shift
- Job#: bh17877
Job Title: AI Engineer
Pay Rate: $62.94 to $97.90 per Hour
Location: 360 Huntington Avenue Boston MA 02115
Duration: 12-month contract
Shift: 1st Shift M-F
VMS ID Number: NEU23072025
Notes from Intake:
- Max Bill Rate: $140/hr.
- Hybrid 3 days onsite
- 1 year duration
- One opening, max 3 submittal slots per supplier
- Must be W-2 employee NO C2C
- No letterhead, please include candidate’s town and state on resume
Overview:
The implementation of AI systems presents a significant opportunity to enhance teaching and learning, research, and administrative operations while freeing operational time and cost for reinvestment.
To realize this value, specialized expertise is required that does not currently exist within the central IT organization. The proposed AI Engineer, AI Operations Specialist, and AI Prompt Engineer roles represent critical first capabilities needed to further design, implement, and maintain enterprise-grade AI systems and their supporting data pipelines university-wide.
These specialized positions will enable automation of routine functions across the institution and power the wide and expanding array of AI-based institutional initiatives, while creating a stronger foundation for future AI adoption throughout the global campus network.
The specialized knowledge required—spanning data pipeline engineering, machine learning implementation, and AI system operations—is distinct from traditional IT roles. By establishing these positions now, we will strengthen its position at the forefront of AI adoption in higher education, enhancing student experiences, accelerating research capabilities, and improving administrative efficiency across all university functions. These roles represent both a strategic investment in the university's future and a fiscally responsible approach to institutional advancement through technological innovation.
Qualifications:
- AI/ML Development Expertise: Strong proficiency in developing and deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices.
- Software Engineering: Excellent software development skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices.
- Data Pipeline Engineering: Extensive experience with end-to-end data pipelines using tools like Apache Airflow, Prefect, cloud platforms (AWS, Azure, GCP), data warehousing solutions (Snowflake, Redshift), processing frameworks (Spark, Kafka), and container technologies (Docker, Kubernetes), with proficiency in Python, SQL, and version control/CI/CD practices.
- Machine Learning Engineering: Demonstrated experience in the full ML lifecycle including data preparation, feature engineering, model training, validation, deployment, and monitoring in production.
- Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications.
- Cloud Computing: Experience deploying and scaling AI systems in cloud environments (AWS, Azure, or GCP), with knowledge of cloud-native AI services.
- Solution Architecture: Ability to design scalable, secure, and efficient AI system architectures that meet enterprise requirements and performance standards.
- System Integration: Ability to integrate AI solutions with existing enterprise systems, APIs, databases, and authentication services to create cohesive user experiences.
- Performance Optimization: Experience optimizing AI models for both accuracy and computational efficiency in resource-constrained environments.
- Security Awareness: Knowledge of security best practices for AI systems, including data protection, model security, and prevention of adversarial attacks.
- Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications.
- AI Ethics and Governance: Understanding of ethical considerations in AI development, including bias mitigation, fairness, transparency, and compliance with relevant regulations.
- Problem-Solving: Exceptional problem-solving skills to troubleshoot complex AI system issues and optimize performance in real-world applications.
- Project Management: Ability to manage AI development projects, prioritize tasks, and deliver solutions on schedule and within scope.
- Cross-functional Collaboration: Demonstrated ability to work effectively with diverse stakeholders, translating business requirements into technical specifications and explaining technical concepts to non-technical audiences.
- Communication Skills: Excellent verbal and written communication skills to document systems, present findings, and collaboration with cross-functional teams.
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field; Master's degree preferred.
- Minimum of 5 years of experience in AI/ML engineering roles, with at least 2 years working with production AI systems in enterprise environments.
- Experience with AI system implementation in higher education or similar complex organizational settings preferred
Please use the apply button to submit your resume for consideration. A Connexion Representative will contact you shortly.
You may also send your resume and cover letter via email to the recruiter listed below. You MUST include the Job# and Job Title in your subject line.
If you are active in a job search but this job is not for you, please reach out to jobpostings@csetalent.com. We would be glad to help you find the perfect job!
Meet Your Recruiter
Emily Donahue
Regional Recruiting Manager
- Directs the recruitment efforts for both the Quincy, MA and Providence, RI branches.
- Manages a distributed team of recruiting leads, individual contributor recruiters and account managers.
- Responsible for leading the fulfillment and execution of sourcing, recruiting, sales and business development practices across the region.
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