Sr. AI Engineer
$120k - $150k per yearFull-time
Hays
Senior AI Engineer
Job Type: Permanent
Salary: CAD $120,000 - $150,000
Location: Halifax, NS (Hybrid - 3 Days Onsite)
Hays Client
Senior AI Engineer
What You'll Be Doing
· Design, build, and support secure, cloud-native AI-enabled applications in a production environment.
· Lead the technical design and delivery of complex AI, machine learning, and generative AI solutions.
· Develop document intelligence solutions including document classification, information extraction, semantic search, workflow automation, and document understanding capabilities.
· Design scalable AI architectures using foundation models, RAG, agent workflows, and intelligent document processing patterns.
· Evaluate models, prompts, retrieval approaches, and AI frameworks to optimize business outcomes and production performance.
· Implement model evaluation, prompt optimization, fine-tuning, and retrieval strategies to improve solution accuracy and reliability.
· Define data validation, testing, deployment, monitoring, and observability processes for AI solutions.
· Lead technical incident resolution and drive continuous platform improvements.
· Establish best practices across Python, AI frameworks, AWS, MLOps, CI/CD, and software engineering processes.
· Mentor junior and mid-level engineers through design reviews, technical guidance, and hands-on collaboration.
· Partner with business stakeholders, data scientists, architects, and engineering teams to deliver scalable AI-driven solutions.
· Drive improvements to architecture, automation, reusable frameworks, and engineering standards.
What You'll Need to Succeed
· Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline.
· 6-8 years of software engineering experience, including 3+ years delivering AI/ML or Generative AI solutions in production environments.
· Strong experience designing and deploying AI, machine learning, NLP, document intelligence, and generative AI solutions.
· Hands-on experience with Retrieval-Augmented Generation (RAG), AI agents, foundation models, prompt engineering, and model evaluation frameworks.
· Experience building intelligent document processing solutions involving OCR, document classification, entity extraction, and workflow automation.
· Strong AWS experience and familiarity with enterprise AI platforms such as Amazon Bedrock, Anthropic Claude, OpenAI, Azure OpenAI, or similar technologies.
· Experience with AI orchestration frameworks such as LangChain, LlamaIndex, or comparable tools.
· Strong proficiency in Python and machine learning libraries including PyTorch, TensorFlow, scikit-learn, Pandas, and NumPy.
· Experience with relational databases, NoSQL technologies, vector databases, and large-scale data processing.
· Strong understanding of distributed systems, APIs, security, observability, CI/CD, testing, and production support.
· Experience designing AI testing frameworks, model evaluation processes, retrieval validation, hallucination detection, and monitoring strategies.
· Excellent communication skills and the ability to collaborate with technical and non-technical stakeholders.
· Financial services or regulated-industry experience is considered an asset.
What You'll Get in Return
You will join a high-performing engineering team focused on delivering innovative AI-powered solutions that drive business value. The role offers exposure to modern AI technologies, cloud-native platforms, document intelligence initiatives, and enterprise-scale machine learning solutions while working alongside experienced technology professionals.
What You Need to Do Now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
This posting is for an existing vacancy with the organization.
AI may be used to screen, assess or select applicants for the position.
Job Type: Permanent
Salary: CAD $120,000 - $150,000
Location: Halifax, NS (Hybrid - 3 Days Onsite)
Hays Client
Senior AI Engineer
What You'll Be Doing
· Design, build, and support secure, cloud-native AI-enabled applications in a production environment.
· Lead the technical design and delivery of complex AI, machine learning, and generative AI solutions.
· Develop document intelligence solutions including document classification, information extraction, semantic search, workflow automation, and document understanding capabilities.
· Design scalable AI architectures using foundation models, RAG, agent workflows, and intelligent document processing patterns.
· Evaluate models, prompts, retrieval approaches, and AI frameworks to optimize business outcomes and production performance.
· Implement model evaluation, prompt optimization, fine-tuning, and retrieval strategies to improve solution accuracy and reliability.
· Define data validation, testing, deployment, monitoring, and observability processes for AI solutions.
· Lead technical incident resolution and drive continuous platform improvements.
· Establish best practices across Python, AI frameworks, AWS, MLOps, CI/CD, and software engineering processes.
· Mentor junior and mid-level engineers through design reviews, technical guidance, and hands-on collaboration.
· Partner with business stakeholders, data scientists, architects, and engineering teams to deliver scalable AI-driven solutions.
· Drive improvements to architecture, automation, reusable frameworks, and engineering standards.
What You'll Need to Succeed
· Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline.
· 6-8 years of software engineering experience, including 3+ years delivering AI/ML or Generative AI solutions in production environments.
· Strong experience designing and deploying AI, machine learning, NLP, document intelligence, and generative AI solutions.
· Hands-on experience with Retrieval-Augmented Generation (RAG), AI agents, foundation models, prompt engineering, and model evaluation frameworks.
· Experience building intelligent document processing solutions involving OCR, document classification, entity extraction, and workflow automation.
· Strong AWS experience and familiarity with enterprise AI platforms such as Amazon Bedrock, Anthropic Claude, OpenAI, Azure OpenAI, or similar technologies.
· Experience with AI orchestration frameworks such as LangChain, LlamaIndex, or comparable tools.
· Strong proficiency in Python and machine learning libraries including PyTorch, TensorFlow, scikit-learn, Pandas, and NumPy.
· Experience with relational databases, NoSQL technologies, vector databases, and large-scale data processing.
· Strong understanding of distributed systems, APIs, security, observability, CI/CD, testing, and production support.
· Experience designing AI testing frameworks, model evaluation processes, retrieval validation, hallucination detection, and monitoring strategies.
· Excellent communication skills and the ability to collaborate with technical and non-technical stakeholders.
· Financial services or regulated-industry experience is considered an asset.
What You'll Get in Return
You will join a high-performing engineering team focused on delivering innovative AI-powered solutions that drive business value. The role offers exposure to modern AI technologies, cloud-native platforms, document intelligence initiatives, and enterprise-scale machine learning solutions while working alongside experienced technology professionals.
What You Need to Do Now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
This posting is for an existing vacancy with the organization.
AI may be used to screen, assess or select applicants for the position.
Vacancy posted 22 days ago
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