Senior Artificial Intelligence Engineer
First seen by Alion on Oct 22, 2026.
About client:
Global AI & Innovation team to build next-generation AI platforms, autonomous agents, and real-time intelligence solutions that transform how a global enterprise operates and serves its customers.
Position Summary:
Seeking a highly skilled Senior AI/ML Engineer to lead the design, development, deployment, and governance of enterprise-scale AI solutions.
Key Responsibilities:
AI Solution Engineering & Architecture:
- Design, develop, and deploy end-to-end AI/ML solutions, including microservices, RAG architecture, and agentic AI workflows.
- Build scalable and reusable AI services that support enterprise-wide business use cases.
- Evaluate and integrate emerging AI technologies, frameworks, and foundation models.
MLOps, Data Science & Advanced Analytics:
- Implement and maintain MLOps pipelines for model training, deployment, monitoring, versioning, and lifecycle management.
- Automate model deployment, performance monitoring, and drift detection processes.
- Optimize AI workloads for cost, scalability, and performance across Azure and AWS cloud platforms.
- Design, develop and deploy scalable, secured, predictive statistical ML models to continuously empower business functions.
Real-Time Data Engineering:
- Build low-latency data ingestion, processing, and orchestration pipelines supporting AI applications.
- Design and maintain vector databases, knowledge repositories, and semantic search capabilities.
- Enable real-time analytics and AI-driven decision-making using large-scale operational and transactional data.
AI Governance, Security & Responsible AI:
- Implement security-by-design principles across AI solutions and data platforms.
- Protect sensitive financial and operational data through robust access controls and governance frameworks.
- Mitigate risks related to prompt injection, hallucinations, data leakage, bias, and regulatory compliance.
- Ensure adherence to Responsible AI, privacy, and enterprise security policies.
Business Partnership & Value Realization:
- Collaborate with business leaders, product teams, and solution architects to identify high-value AI opportunities.
- Translate business problems into scalable AI solutions that drive operational efficiency, growth, and innovation.
- Measure and communicate business outcomes, model performance, and ROI from AI initiatives.
Required Qualifications:
- Bachelor's or master's degree in computer science, Data Science, Engineering, Artificial Intelligence, or related field.
- 7+ years of experience in AI/ML engineering, software engineering, data engineering, or cloud-based solution development.
- Hands-on experience with Generative AI, LLMs, RAG frameworks, AI agents, and vector databases.
- Strong foundation in statistics, predictive modeling, and machine learning.
- Strong proficiency in Python and modern AI/ML frameworks (PyTorch, TensorFlow, LangChain, Semantic Kernel, etc.).
- Experience with Azure AI Services, AWS AI/ML services, and cloud-native architectures.
- Knowledge of MLOps, CI/CD, containerization (Docker/Kubernetes), and modern software engineering practices.
Preferred Qualifications:
- Experience in financial services, logistics, operations, or other highly regulated industries.
- Azure AI Engineer, AWS Machine Learning, Snowflake, or related certifications.
Success Measures:
- Accelerated delivery of AI-powered business solutions
- Improved AI platform scalability, reliability, and security
- Reduced infrastructure and model operating costs
- Increased adoption of AI capabilities across business functions
- Demonstrated business value and measurable ROI from AI investments
Skills
Artificial Intelligence, Machine Learning, Python, Generative AI, MLOps, PyTorch, LangChain, Agentic AI, Statistical Modeling, Predictive Analytics