Manager, AI Ops Site Reliability Engineer
Pfizer
- Location
- Hybrid (Chortiatis Municipal Unit, Macedonia and Thrace)
- Employment
- Full-time
- Level
- Mid Level
About the Role
Pfizer is seeking a Manager, AI Ops Site Reliability Engineer to design and evaluate AI agent workflows for operational incident management. This role focuses on automating operations by building evaluation harnesses and converting domain expertise into reliable, measurable agent behavior.
Skills
Perks
- Hybrid Work
Full job details
ROLE SUMMARY
The CISO Infrastructure & Cloud Services organization delivers excellence in the pursuit of breakthroughs that change patients' lives through industry-leading infrastructure operations performance. We ensure optimal performance of global application hosting and network services that power Pfizer's business processes. We strive to revolutionize service dependability by applying advanced analytics to drive predictive detection, identifying potential issues with our services and intervening before they disrupt our business. We place data at the heart of what we do and apply a relentless focus on continuous improvement to enable Pfizer's business processes and patient outcomes.
We are seeking an Manager, AI Ops Site Reliability Engineer to own how our operations agents think and how well they perform, within Hosting SRE Operations, based in Greece. In this role, you design the agent workflows, prompts and context, build the evaluation harness that proves accuracy against our own estate, and partner with our existing domain experts to convert their operational know-how into reliable, measurable agent behavior. You bring depth in AI and evaluation; our domain specialists bring the deep OS, Storage, Data Protection, Database and HCI knowledge - together you turn classic operations into trustworthy AI operations.
ROLE RESPONSIBILITIES
Design agent workflows for intake and investigation: the prompts, context and retrieval, tool selection and decision logic that determine how the agent classifies, enriches and reasons about incidents.
Build and own the evaluation harness: ground-truth datasets drawn from historical incidents, accuracy, precision and recall metrics, regression tests, and hallucination and error detection - so every change to an agent is measured before it ships.
Define the reasoning guardrails: what an agent may conclude and propose, how confident it must be, and when it must defer to a human - the quality side of the approval gate.
Turn tacit operational knowledge into machine-usable context: work with the existing domain experts to convert their runbooks and past investigations into retrievable knowledge the agent can cite.
Run the transformation on Operational workflows: take a classic operational process, redesign it with the domain owner as an agent-assisted flow, pilot it, and measure toil and MTTR reduction.
Continuously tune agent quality against production results, feeding misses back into prompts, context and the evaluation sets.
Collaborate with SRE, Ops, Platform teams, AI Ops Platform Engineers, AI Ops Site Reliability Engineers, and other stakeholders to align operational requirements, platform capabilities, automation strategies, and execution priorities
QUALIFICATIONS
Bachelor's degree in a technical field or equivalent practical experience.
4 years+ in software, data or ML/AI engineering, including hands-on delivery of LLM or agent-based applications in production.
Demonstrated prompt and context engineering, and experience building structured evaluations for AI systems (ground-truth sets, metrics, regression testing; LLM-as-judge a plus).
Working knowledge of agent frameworks and tooling (for example Amazon Bedrock AgentCore or LangGraph) and RAG / knowledge-base design, with strong Python.
IT operations literacy to design realistic operational workflows and judge the plausibility of agent output. You do not need to be a domain administrator - you will partner with domain experts who are.
Strong analytical and communication skills to work with SREs, extract knowledge and present accuracy results credibly. Familiarity with ServiceNow, Dynatrace or observability data is a plus.
Demonstrated experience in an agile work environment possessing qualities such as a collaborative mindset, adaptability to change, and a proactive problem-solving approach.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Periodic international and domestic travel required (less than 10%)
Please apply by sending your CV in English.
Work Location Assignment: Hybrid
Purpose
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Flexibility
We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
Disability Inclusion
Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.

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