Start Date
Immediate
Expiry Date
29 Nov, 25
Salary
0.0
Posted On
29 Aug, 25
Experience
12 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Digital Security, Load, Problem Solving, Algorithms, Data Integration, Data Manipulation, Transformation, Data Visualization, Data Structures, Data Analysis
Industry
Information Technology/IT
JOB DESCRIPTION:
We’re looking for a Principal AI Engineer who combines deep technical expertise with the ability to set direction, influence stakeholders, and shape the future of AI engineering across the enterprise. Our AI Acceleration organisation is building high-impact AI-powered applications that deliver measurable business value at speed. As a Principal AI Engineer, you will serve as both a hands-on technical leader and a strategic partner driving architectural choices, aligning with business and technology stakeholders, and ensuring that our AI systems are secure, reliable, and scalable.
This is a role for leaders who thrive at the intersection of disciplined engineering, AI innovation, and organizational influence. You will work across teams and business units to align technical strategies, define reusable platforms, and raise the bar for how AI is built and operated at scale. You will shape the long-term roadmap for AI engineering while ensuring delivery on today’s most pressing priorities.
Job Responsibilities
Set Technical Direction: Define the long-term technical strategy for AI engineering across the enterprise, ensuring alignment with organizational priorities and technology roadmaps.
Architect for Scale: Drive architectural decisions for platforms and applications that leverage LLMs, retrieval-augmented generation, AI agents, and unstructured data processing at enterprise scale.
Influence & Align: Partner with senior engineering leaders, product managers, business stakeholders, and governance teams to align AI initiatives with business value, compliance, and responsible AI practices.
Cross-Org Leadership: Lead multi-team initiatives, ensuring delivery of AI platforms and applications that are reusable, discoverable, and secure.
Raise the Bar: Mentor senior and staff engineers, fostering technical excellence, operational rigour, and a culture of innovation and reuse.
Future-Proof AI: Evaluate emerging AI frameworks, protocols, and ecosystems, identifying opportunities to standardise, reduce duplication, and avoid vendor lock-in.
Operational Excellence: Establish engineering standards, metrics, and best practices for deploying and operating AI systems reliably in production.
Thought Leadership: Represent AI engineering in internal and external forums, shaping industry perspective and ensuring bp remains a leader in practical AI adoption.
About you:
12+ years of professional software engineering experience, with a track record of designing and delivering complex, production-grade systems.
Demonstrated experience leading cross-functional engineering initiatives at scale, with ability to influence without direct authority.
Expertise in modern software architecture, distributed systems, and cloud infrastructure (AWS, Azure, or GCP).
Deep hands-on experience integrating AI/ML systems into production environments, including LLMs, RAG, vector search, and AI agents.
Strong ability to communicate technical strategy to executives, engineers, and business partners alike.
Proven ability to set and enforce engineering standards for quality, security, and operational reliability.
Experience mentoring senior engineers and shaping the growth of engineering organisations.
Preferred:
Experience defining enterprise-level AI architectures, platforms, or internal developer tools.
Familiarity with AI orchestration frameworks (LlamaIndex, LangChain, Crew AI, AutoGen, etc.) and best practices for agentic systems.
Track record of contributions to open-source AI/ML communities or internal platform accelerators.
Background working in environments requiring compliance, security, and governance for AI applications.
Exposure to both traditional ML and modern GenAI systems, with ability to evaluate trade-offs and guide adoption.
SKILLS:
AI Agents, Cloud Infrastructure, Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving, Software Engineering
Please refer the Job description for details