Find Senior software engineer (python) Jobs in Coolock, D

Senior AI Large Language Model (LLM) Architect
Accenture —Dublin, County Dublin
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- Master's degree
- Bachelor's degree
- AI
Senior Software Security Engineer
Dolby —Dublin, County Dublin
- English
- Analysis skills
- C++
Senior Product Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- AWS
- JavaScript
- No degree
- Work from home
Senior Site Reliability Engineer - CloudVision
Arista Networks —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
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Data Engineering Lead
Aqua Coders —Dublin, County Dublin
- From €90,000 a year
- Full-time
- Azure
- Computer Science
- English
Quick apply
9h
Senior Engineer, Network Observability
CoreWeave Europe —Dublin, County Dublin
- On call
- Computer Science
- Bachelor's degree
- Linux
- Employee assistance program
Quick apply
Director of Software Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Java
- C++
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Director Cloud Platform
Guidewire Software —Dublin, County Dublin
- Weekend availability
- Doctoral degree
- Java
- Master's degree
Staff Engineer QA, PC Apps
Dolby —Dublin, County Dublin
- Windows
- C++
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AI Infrastructure Architect
Accenture —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
2d
Data Engineering Lead
Wibit Consulting & Services (WibitCS) —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Quick apply
Senior Manager Data Science
Optum —Dublin, County Dublin
- Full-time
- Management
- Doctoral degree
- Data analysis skills
10d
AI Infrastructure Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- Java
- Master's degree
- Work from home
Lead AI Solutions Delivery Engineer
DocuSign —Dublin, County Dublin
- Computer Science
- Java
- Master's degree
3d
kdb+ Engineer
Data Intellect —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- AWS
- Software development
- Referral programme
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Senior Field Application Engineer
Innatera Nanosystems —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Customer service
- Engineering
- Work from home
Quick apply
Sr. Manufacturing Engineer – Test Support , Hardware Engineering - Manufacturing
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- System design
- Java
- AWS
Staff Site Reliability Engineer
Replit —Dublin, County Dublin
- Full-time
- Remote
- Mentoring
- Communication skills
- Python
- Life insurance
Firmware Engineer
TechBiz Global GmbH —Dublin, County Dublin
- Full-time
- Hybrid work
- Analysis skills
- C++
- Bachelor's degree
Quick apply
German-Speaking Technical Support Engineer - Elastic Cloud Storage
Dell Technologies —Dublin, County Dublin
- Weekend availability
- Customer service
- English
- Windows

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Senior AI Large Language Model (LLM) Architect

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Law
Master's degree
Bachelor's degree
AI
Graph databases
Python

Full job description

YOU ARE

As an experienced and senior AI/LLM Architect, you will play a pivotal in designing and delivering end-to-end AI platform architectures that power the modern, reinvented enterprise. Operating at the intersection of business and engineering, you will own the technical design of advanced AI systems — spanning classical machine learning, generative AI, and agentic systems — ensuring they are purposefully architected to meet client business objectives and enterprise-grade standards. Within this scope, you will take deep ownership of one or more critical architecture domains — such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, or model platforms and inference — serving as the lead authority in your domain across client engagements. You will develop and maintain specialized expertise in the technologies, patterns, and emerging practices within your domain, bringing that depth to bear in shaping architecture decisions, accelerating delivery, and building reusable assets that extend across the practice. You will evaluate, select, and apply the right design patterns, technical frameworks, and tools within your domain and across the broader AI architecture — ensuring cohesion across the full system. This includes architecting AI agents encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as the integration of fine-tuned foundation models and classical ML models into scalable, production-ready platforms. A critical dimension of this is owning the design of a comprehensive AI context layer — drawing on enterprise knowledge bases, structured and unstructured data sources, and domain-specific content — to ground AI systems in the realities of each client's business and ensure outputs are accurate, trustworthy, and impactful. As the technical authority on your domains, you will lead architecture decisions and be accountable for ensuring systems meet rigorous non-functional requirements across security, observability, governance, performance, and scalability. You will produce and own the architecture artifacts that shape delivery — including architecture decision records (ADRs), component and data flow diagrams, and integration specifications — and provide the technical leadership that enables cross-functional teams of data engineers, ML engineers, and application developers to execute with clarity and confidence. Your contributions will be instrumental in shaping how clients adopt and scale AI, pushing the boundaries of what these systems can achieve and delivering measurable, lasting business value.

THE WORK

Translate business strategy into a technical vision by defining the non-functional requirements (NFRs) necessary to meet operational goals for performance, reliability, and cost.

Lead stakeholder workshops to align on technical feasibility, define project scope, and manage expectations with clients and leadership.

Drive the technology selection process, evaluating build-vs-buy decisions for AI platforms (e.g., Arize, LangSmith) and foundational models.

Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane.

Design and implement the Agent Registry as the mandatory system of record and the AI Gateway for runtime policy enforcement.

Design and implement a certification gate to ensure no uncertified agents enter production, validating identity, policies, and evaluation metrics.

Design, implement, and abstract core agent services, including a first-class abstracted memory service with semantic, episodic, and procedural endpoints.

Architect the end-to-end data pipeline for AI systems, including data ingestion, preprocessing, and synchronization for fine-tuning and RAG.

Design and implement the context layer—spanning knowledge graphs, vector search, and semantic retrieval—to create reliable, grounded RAG pipelines.

Architect foundation model adaptation strategies, including dynamic, cost-and-performance-aware model routing and selection.

Design, implement, and prototype high-throughput, low-latency inferencing solutions using techniques like response caching and request batching.

Define security, governance, and observability as centrally-enforced, by-design controls for all AI systems.

Architect a robust, defense-in-depth security framework, including per-agent identity with IAM/IAP binding and layered guardrails.

Design and implement FinOps controls enforced at the AI Gateway, including token budgets, cost-center labeling, and threshold alerts.

Establish the framework for comprehensive system evaluation, adopting productized tools and instrumenting observability with OTel

Define and maintain the enterprise-wide AI reference architecture, reusable design patterns, and a library of approved software components.

Independently design, implement, build, and deliver proof-of-concept prototypes and foundational software components to validate architectural decisions.

Produce and own authoritative architecture artifacts, including blueprints, sequence diagrams, design specifications, and Architectural Decision Records (ADRs).

Mentor and guide cross-functional engineering teams (data, ML, application) on architectural best practices and design patterns.

Continuously research and integrate emerging AI patterns, frameworks, and technologies to maintain a forward-looking architecture.

EDUCATION

- Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

Significant experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor.

Indiustry experience in the Agentic, LLM and Generative AI space.

Conssiderable coding experience using python as well as coding engineering, machine learning, deep learning and NLP solutions and applications

Experience architecting and operationalizing LLM driven application architecture patterns.

Demonstratable experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical engineering solutions.

Apply Now

Refine Your Search

senior software engineer (python) jobs in coolock, d

Senior AI Large Language Model (LLM) Architect

Senior Software Security Engineer

Senior Product Engineer

Senior Site Reliability Engineer - CloudVision

Data Engineering Lead

Senior Engineer, Network Observability

Director of Software Engineering

Director Cloud Platform

Staff Engineer QA, PC Apps

AI Infrastructure Architect

Data Engineering Lead

Senior Manager Data Science

AI Infrastructure Engineer

Lead AI Solutions Delivery Engineer

kdb+ Engineer

Senior Field Application Engineer

Sr. Manufacturing Engineer – Test Support , Hardware Engineering - Manufacturing

Staff Site Reliability Engineer

Firmware Engineer

German-Speaking Technical Support Engineer - Elastic Cloud Storage

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