Senior AI Engineer

Position Title: Senior AI Engineer

Reporting to: Director Automation Hub

Job Group: 2/3

Location: Islamabad

Division: Telenor Shared Services Pakistan

Department: Automation Hub

Unit: Finance & Procurement Tribe

About Telenor Shared Services Pakistan

Telenor Shared Services Pakistan delivers transactional business services in the areas of Finance & Accounting and IT. Together with Telenor Shared Services Norway it delivers efficient business support to Telenor employees to make their work easier.

Position Related

We are seeking a Senior AI Engineer with strong expertise in designing, building, and deploying secure and scalable AI solutions within enterprise environments. This role requires a unique blend of technical depth, business understanding, and the ability to translate complex AI concepts into practical, value-driven outcomes.

The ideal candidate will have a strong background in AI engineering, experience with LLMs and RAG architecture, AI Ops and the ability to collaborate across teams to deliver high-impact AI solutions.

Goals

Key Responsibilities

• Design and deploy enterprise-scale LLM and AI solutions for NLP/ML, conversational AI, automation and agentic workflows.

• Build and optimize RAG pipelines using enterprise data sources with security and compliance as core principles.

• Develop and manage distributed training, fine-tuning, and inference systems optimized for large-scale workloads on cloud environments.

• Integrate AI models into enterprise workflows, APIs, microservices, and cloud platforms.

• Implement AIOps best practices for continuous integration, deployment, monitoring, governance, and lifecycle management of AI models.

• Ensure responsible AI usage, including explainability, bias mitigation, security, and auditability.

• Work closely with cross functional/technical teams to align AI solutions with business priorities,

• Translate functional requirements and communicate complex AI concepts clearly to technical and non-technical stakeholders.

Note: Above goals and job descriptions are indicative and subject to change

Experience & Qualification

• Bachelor’s or master’s in computer science, Software Engineering, AI/ML, Data Science, or a related field.

• 7+ years of experience in AI/ML engineering or software engineering.

• At least 2–3 years of experience with LLM-based AI solutions in enterprise environments.

• Demonstrated ability to manage end-to-end delivery, including requirement gathering, solution design, implementation, and stakeholder communication.

Required Technical Skills

• Strong proficiency in Python, clean architecture, and production-grade API development.

• Deep experience with LLM frameworks and tooling such as LangChain, LangGraph, LlamaIndex, or similar orchestration and agent frameworks.

• Experience with RAG systems, vector databases, and similarity search technologies.

• Expertise in model optimization: parameter-efficient tuning, quantization, mixed-precision, distributed parallelism.

• Experience deploying and scaling AI inference using optimized serving frameworks.

• Experience building multi-agent systems using agent orchestration tools.

Functional & Behavioral Skills

• Service-minded, open-minded, culturally aware.

• Highly structured, focused, and able to prioritize effectively.

• Innovative, curious, and a strategic thinker.

• Strong analytical and problem-solving abilities.

• Team-oriented with the ability to foster collaboration and psychological safety.

• Adaptable, proactive and comfortable working under strict deadlines.

Potential Career Path

• Progression to Senior Manager/ Director roles AI and Data positions.