Posted last month
Sr. AI Engineer
@ Hays
Nova Scotia
SIGNALS
Overview
Hays is hiring a Senior AI Engineer for a client in Halifax, NS, on a permanent full-time basis at CAD $120,000 to $150,000, hybrid with three days a week onsite. The role leads design and delivery of production AI, machine learning and generative AI solutions, with a focus on document intelligence, RAG and agent workflows on AWS.
Pay:
$120,000–$150,000 a year
Responsibilities:
- Design and deliver secure, cloud-native AI applications in production
- Lead complex AI, machine learning and generative AI solutions
- Develop document intelligence solutions including classification and extraction
- Mentor junior and mid-level engineers through reviews and guidance
Requirements summary:
- Bachelor's degree in computer science, engineering, data science or related field
- 6-8 years of software engineering, 3+ years delivering AI/ML in production
- Hands-on RAG, AI agents, foundation models and prompt engineering experience
- Strong AWS experience and Python proficiency
- Financial services or regulated-industry experience is an asset
Tools & skills
Source and dates
Employer career site / ATS feed · careerpage
- Employer posting date
- 2026-09-28
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Experience | 6+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Engineering, Data Science |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Hays
| Field | Value |
|---|---|
| Open jobs on Jobsy | 248 |
Job description
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.
#LI-DNI
#1126951 - Avneesh Pandey
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.
#LI-DNI
#1126951 - Avneesh Pandey
Journal
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