ai solutions architect

PHINIA

<div>ABOUT US
PHINIA: Advancing sustainability today, powering a cleaner tomorrow. 
PHINIA is an independent, market-leading, premium solutions and components provider with over 100 years of manufacturing expertise and industry relationships, with a strong brand portfolio that includes DELPHI&reg;, DELCO REMY&reg; and HARTRIDGE&trade;. With over 12,500 employees across 43 locations in 20 countries, PHINIA is headquartered in Auburn Hills, Michigan, USA. 
At PHINIA, we Provide fuel systems, electrical systems, and aftermarket products and solutions of the highest quality &mdash; developed and manufactured responsibly &mdash; that are designed to enhance efficiency and reduce the environmental impact of vehicles, industrial machinery, and other applications. In doing so, we contribute to a cleaner tomorrow, treat our people and surrounding communities with respect, and hold ourselves accountable to robust ethical standards. 
Our Culture
PHINIA promotes and cultivates an inclusive culture and diverse perspectives, strives to maintain its reputation for excellence, thrives on the power of collaboration, and fosters the development of our talented employees. We believe in making a positive impact through our business and actions, and we take our collective responsibility seriously. 
Career Opportunities
We believe in building a brighter tomorrow for our employees as well as our customers and encourage you to learn about our long history, strong culture, new technologies, and future vision. We offer a strong local presence and interesting global opportunities. Join us on this shared journey toward a brighter tomorrow.
JOB PURPOSE
Senior candidates would be expected to provide technical leadership of a component or subsystem within an internally developed AI platform, driving quality and best practices while mentoring junior team members. You will be expected to demonstrate technical authority for specific domains such as backend services, system integration, or frontend experience.
 
Junior candidates should also consider themselves for this role as a function of their demonstrable expertise, rather than professional tenure or experience.
KEY RESPONSIBILITIES
<ul><li>Technical Leadership: Own technical direction for assigned components; make design decisions within scope
</li><li>Architecture: Design full feature and component-level architectures; contribute to system-wide architectural discussions
</li><li>Complex Development: Lead development of complex features spanning an internally developed AI IDE consisting of frontend, backend and related databases
</li><li>Integration Ownership: Lead AI IDE as well as specific engineering systems (e.g., calibration tools, dyno data systems) integration efforts
</li><li>Quality: Lead comprehensive testing strategies development implementation; test strategy library maintenance and actively contribute to code reviews
</li><li>Mentoring: Coach and develop Junior Engineers and Engineers; conduct thorough code reviews
</li><li>DevOps: Design and implement CI/CD pipelines; establish deployment best practices
</li><li>Technical Support: Handle L3 escalations; contribute to root cause analysis
</li></ul>What we&rsquo;re looking for
Skills
<ul><li>LLM integration and prompt engineering experience
</li><li>Enterprise system integration (APIs, ETL, middleware)
</li><li>Windows deployment and/or Containerisation and orchestration (Docker, Kubernetes)
</li><li>Electron desktop application development and Blue-Green deployment
</li><li>Automotive engineering domain knowledge (ECU, calibration, test systems)
</li><li>AI Chat Interface architecture and extension development
</li><li>Tenacity to work through challenging problems independently
</li><li>Willingness to seek council and support with challenging problems
</li><li>Ability to keep an open mind
</li></ul>Education &amp; Experience
<ul><li>Bachelor's degree in Computer Science, Software Engineering, or related Engineering discipline (Master's desirable)
</li><li>4 to 5 years professional software development experience (Full Stack Desirable)
</li><li>Strong proficiency in Python and/or TypeScript/JavaScript and/or Svelte and/or Electron
</li><li>Strong proficiency in modern and AI databases, REST APIs, and version control (Git)
</li><li>Demonstrable experience with system design and architecture
</li><li>CI/CD pipeline design and implementation experience
</li><li>Track record of mentoring and developing others (desirable)
</li><li>Strong problem-solving aptitude, eagerness to learn and strong inquisitive nature
</li><li>Critical thinker with a &lsquo;can do!&rsquo; mindset
</li></ul>AI Augmentation Expectation
This role fundamentally operates with AI augmentation. The engineer will leverage AI assistants as a force multiplier for and chart new territory in coding, debugging, research, and documentation, enabling delivery scope typically requiring a larger team and more highly skilled engineers.
WHAT WE OFFER
We provide compensation and benefits programs intended to attract, motivate, reward, and retain an incredibly talented, globally diverse workforce at all levels within our organization. Our compensation programs are informed by market data and business needs, and we are committed to providing equitable and competitive compensation. We are committed to providing our team with quality and competitive benefit programs, including health and well-being resources, family-centric policies, and an agile workplace program, where not precluded by collective bargaining agreements or national statutory plans. Plans are benchmarked for competitiveness and value.
We provide formal development opportunities at all levels and stages of employee careers. These opportunities are delivered in a variety of formats to make our portfolio of solutions agile, sustainable, and scalable to support our employees in developing the skills needed to succeed.
WHAT WE BELIEVE
<ul><li>Product Leadership - Innovation that brings value to our customers
</li></ul><ul><li>Humility - Seeking out diverse perspectives and working collaboratively
</li></ul><ul><li>Inclusivity - Recognizing our differences makes us stronger; we are bold and intentional
</li></ul><ul><li>Net-Zero - Committed to energy efficiency, waste reduction and beneficial reuse
</li></ul><ul><li>Integrity - Taking responsibility for our decisions and doing what is right
</li></ul><ul><li>Accountability - Taking ownership of our actions and driving results
</li></ul>SAFETY
You will consistently hear us say Safety First! We are committed to continually improving our strong safety performance supporting the health and wellness of our employees!
We also believe employee health and safety is everyone&rsquo;s responsibility. We encourage safety learning and collaboration to help employees understand and follow applicable safety policies, standards, and procedures and identify opportunities to minimize or eliminate risk. Work is expected to be conducted in a manner that stresses the importance of preventing incidents and illnesses, including attending all required safety meetings and trainings. It is expected that all incidents, near misses, and unsafe conditions are immediately reported to the direct manager, Human Resources, or Safety Representative.
EQUAL EMPLOYMENT OPPORTUNITY
PHINIA is an equal employment opportunity employer such that all qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity/expression, national origin, disability or protected veteran status.
VISA SPONSORSHIP
PHINIA does provide sponsorship for employment visa status based on business need. However, for this role, applicants must be currently authorized to work on a full-time basis, in the country where the position is currently based.
NO UNAUTHORIZED REFERRALS FROM RECRUITERS &amp; VENDORS
Please note that PHINIA does not seek or accept unsolicited resumes or offers from third party recruiters or staffing agencies associated with any published or unpublished employment opportunities. Any unsolicited information sent to PHINIA will be considered as unencumbered and free from any fee or charge whatsoever. Only members of our Human Resources Team have the authority to engage or authorize recruiting services, which must be agreed upon before the unsolicited resume or offer is received.
GLOBAL TERMS OF USE AND PRIVACY STATEMENT 
<h2 class="jobSectionHeader"> 
Carefully read the PHINIA Privacy Policy before using this website. Your ability to access and use this website and apply for a job at PHINIA are conditioned on your acceptance and compliance with these terms.</h2> 
Before submitting your application you will be asked to confirm your agreement with the terms.
Career Scam Disclaimer:
PHINIA makes no representations or guarantees regarding employment opportunities listed on any third-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by PHINIA. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact PHINIA through PHINIA&rsquo;s website to verify the authenticity of any employment opportunities.
Advancing sustainability today, powering a cleaner tomorrow. Join us on this shared journey to a brighter tomorrow. For more information about PHINIA, please visit www.phinia.com .</div>

AI Solutions Architect

Appvia

<div>Senior Data &amp; AI Solutions Architect
Technical Pre-Sales / Customer Solutions
Location: London, UK - Hybrid 
Contract: Permanent - Full-time (~1-2 days per week in office) 
Package: &pound;80,000-100,000 + 30% Bonus + 10% Shares + Benefits (see more below) 
About Appvia
Appvia is a specialist platform engineering and AI enablement consultancy, helping organisations design, build, and operate modern cloud platforms and transform how software is delivered.
Our work spans platform engineering, software modernisation, data platforms, AI enablement, and managed services. We partner with public and private sector organisations to solve complex challenges, improve developer productivity, and unlock value from modern cloud and AI technologies.
As demand for our Data &amp; AI capability continues to grow, we are investing heavily in building repeatable services, assets, and accelerators that help customers move from experimentation to real business outcomes.
About the Role
We are looking for a senior, customer-facing Data &amp; AI Solutions Architect to help shape and grow Appvia's Data &amp; AI capability.
This is a high-impact role sitting at the intersection of Revenue, Engineering, and Product. Working closely with the Head of Cloud Solutions and the growing Data &amp; AI Practice, you will help customers turn data into decisions and AI into value, while influencing Appvia's services, propositions, and go-to-market strategy.
With demand strongest around modern data platforms, we are looking for someone with deep expertise in data architecture and hands-on experience across modern data and AI technologies. You will own technical engagements from initial discovery through proof-of-value and into delivery handover, building trusted relationships with customers and guiding them from ideas to measurable outcomes.
This is a fantastic opportunity for a technically strong communicator who enjoys combining architecture, storytelling, and customer engagement, and who wants to play a key role in defining the future of Data &amp; AI at Appvia. 
 
Interview Process - 3 Stage<ul><li>
Discovery conversation with Talent Acquisition</li><li>
Technical interview with Data &amp; AI Practice
</li><li>Final interview with Leadership</li></ul> 

Requirements 
 
Responsibilities<ul><li>
Partner with the Revenue team to shape account plans, opportunity strategy, and business objectives</li><li>
Technically qualify opportunities, validating customer fit, decision criteria, and clear paths to value</li><li>
Own the technical outcome of customer engagements from discovery through proof-of-value and into delivery</li><li>
Lead workshops to uncover business goals, technical constraints, and success criteria</li><li>
Qualify value, ROI, and TCO to help customers secure investment and stakeholder buy-in</li><li>
Support proposals, Statements of Work, RFI/RFP responses, and security questionnaires</li><li>
Design and deliver compelling demonstrations, proofs-of-concept, and technical deep dives</li><li>
Build reusable demo environments, reference architectures, and technical assets to accelerate future sales cycles</li><li>
Create segmented technical content, webinars, and industry-facing material with Marketing</li><li>
Develop relationships with cloud and SI partners to expand Appvia's reach and co-sell opportunities</li><li>
Represent Appvia at customer workshops, industry events, and community meetups</li><li>
Feed customer insight, competitive intelligence, and market trends back into Product and Professional Services</li></ul>
About You
You are a technically strong communicator who enjoys engaging with customers and making complex ideas easy to understand. Equally comfortable presenting to C-level stakeholders or discussing architecture with engineers, you're passionate about helping organisations realise value from modern data and AI technologies.
You will bring:<ul><li>
Experience in pre-sales, solution architecture, consulting, or technical evangelism within Data &amp; AI</li><li>
Strong understanding of modern data platforms and data architecture</li><li>
Experience designing and explaining Lakehouse and Data Warehouse architectures using technologies such as Databricks, Snowflake, Microsoft Fabric, BigQuery, Redshift, or similar</li><li>
Strong understanding of ETL/ELT, analytics and BI, stream vs batch processing, and Medallion Architecture</li><li>
Familiarity with the Data Science and ML lifecycle, including feature engineering, model training, monitoring, and MLOps</li><li>
Working knowledge of GenAI technologies, including RAG, MCP, vector databases, LLM providers, agentic workflows, and LLMOps</li><li>
Experience with cloud-native technologies across AWS, Azure, or GCP, including their Data and AI services</li><li>
Understanding of data governance, responsible AI, access controls, data lineage, and compliance requirements</li><li>
Experience running proofs-of-concept and technical evaluations through to successful outcomes</li><li>
Strong customer-facing experience within enterprise environments</li><li>
Excellent communication, presentation, storytelling, and workshop facilitation skills</li><li>
A self-starter mindset and the ability to thrive in a fast-paced, evolving environment</li></ul> 

Benefits 
 
Why join Appvia?
We are a self-funded, London-based consultancy, growing rapidly while staying true to what got us here: a human, engineering-led culture built on trust, ownership, and getting things done.
As we scale, we&rsquo;re maturing as a business and expanding into new areas across platform engineering, software, data, and AI. We&rsquo;re intentional about keeping our culture at the heart of it. We operate with a flat structure, agile ways of working, and a strong focus on collaboration, where good ideas come from anywhere and people are trusted to make an impact.
We work alongside our customers to solve complex, real-world problems: modernising systems, improving delivery, and building scalable platforms that enable long-term success.
If you want to be part of a team that values people as much as technology and gives you the space to grow while working on meaningful challenges, Appvia is the place to do it.
What&rsquo;s on offer?<ul><li>️ Work-life balance</li></ul><ul><li>
Flexible working hours - because we know life happens outside of work</li><li>
Hybrid working - outcomes focused working</li><li>
25 days&rsquo; holiday a year, plus bank holidays</li><li>
An additional day off for your birthday</li><li>
Enhanced maternity and paternity to full pay</li><li>
Workplace Nursery Benefit to help working parents</li></ul>
 For your well-being<ul><li>
Full Private Healthcare cover for you with partners and children covered 50%</li><li>
Death in Service</li><li>
Cycle to Work scheme</li><li>
Electric Car Scheme</li><li>
Pension plus a salary sacrifice option for even greater savings</li><li>
Employee Assistance Programme</li><li>
Free hygiene products available in the London office</li></ul>
 Mental health support<ul><li>
Free therapy through AXA</li><li>
Access to the Headspace App</li><li>
Trained Mental Health First Aiders</li></ul>
Other fun perks<ul><li>
Learning budget of &pound;1,000 a year</li><li>
Your own MacBook Pro while you work at Appvia</li><li>
Dog friendly office</li><li>
Wear what makes you comfortable</li><li>
Free snacks in the office</li><li>
Pool table &amp; ping pong table</li><li>
Regular team socials, board game nights, industry meetups and more!</li></ul>
But don&rsquo;t just take our word for it, you can check out what our Appvians say about us on Glassdoor and by following us on LinkedIn, Twitter and TikTok.
We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status.
Note: While all roles are active and approved at the time of posting, the dynamic nature of our start-up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.</div>

Senior Data & AI Solutions Architect - Pre-Sales

GTK Kröger Steuerberater PartGmbB

<div><div>Vollzeit/Teilzeit 38,5 Wochenstunden 17.08.2026 Bielefeld
<h1 class="jobSectionHeader">Lead AI Automation Engineer / AI Solutions Architect (m/w/d)</h1>
<div>KEIN 100 % Homeoffice/Remote: Bewerbungen bitte nur aus dem Umkreis Bielefeld
 
Arbeitszeit: Vollzeit, Hybrid
 
Beginn: nach Absprache
Durch Generative AI und smarte Automatisierung E-Commerce-Steuerberatung und den Kanzleialltag radikal vereinfachen?
Bei GTK Kr&ouml;ger bist du die treibende Kraft, die manuelle Routineaufgaben eliminiert und ungenutzte Effizienzpotenziale in echten Business Impact verwandelt. Wir ruhen uns nicht auf unserem Erfolg als spezialisierte E-Commerce Steuerkanzlei aus. KI ist bei uns bereits gelebte Realit&auml;t.
Du treibst diesen Wandel mit hoher Eigenverantwortung voran &ndash; pragmatisch, technisch versiert und mit einem klaren Blick auf Effizienz, Qualit&auml;t und Datenschutz.
Deine Aufgaben
<ul><li>Entwicklung, Einf&uuml;hrung und Betreuung praxisnaher KI-L&ouml;sungen</li>
<li>Verantwortung f&uuml;r Automatisierung von Prozessen</li>
<li>Zusammenarbeit mit Fachabteilungen und unserem Head of Automation &amp; AI</li>
<li>Sicherstellung von Datenschutz, Compliance und Qualit&auml;t im t&auml;glichen Betrieb</li>
</ul>Was wir dir bieten
<ul><li>Top-Gehalt</li>
<li>Hybrides Arbeiten (kein 100% Remote: Pers&ouml;nliche Begegnungen im Team sind uns wichtig!)</li>
<li>Volle Flexibilit&auml;t: Du kannst jeden Morgen selbst entscheiden, ob du im Homeoffice oder im Office arbeitest</li>
<li>Viel Gestaltungsspielraum bei der KI- und Automatisierungsstrategie, ohne b&uuml;rokratische Schleifen</li>
<li>Moderne Tools &amp; Technologien, spannende Schnittstellen zu E-Commerce-Systemen</li>
<li>Innovationsfreundliche Umgebung mit kurzen Entscheidungswegen</li>
<li>Individuelle Weiterbildungsm&ouml;glichkeiten</li>
</ul>Das bringst du mit
<ul><li>Fit im Aufbau oder in der Betreuung von RPA-, Workflow- oder KI-Projekten</li>
<li>Analytisches Denken, Umsetzungsst&auml;rke, Verl&auml;sslichkeit</li>
<li>Begeisterung f&uuml;r KI-Technologien und deren Nutzen in der Steuerberatung</li>
</ul>Interessiert? Melde dich bei uns.
 
Wir freuen uns darauf, dich kennenzulernen!</div> 

</div><div><div><div>GTK Kr&ouml;ger Steuerberater PartGmbB
</div>Am Lenkwerk 13
 
33609 Bielefeld
 
05221 / 17404-00</div></div></div><div></div>

Lead Automation Engineer / AI Solutions Architect – Bielefeld

HCLTech

Chennai, Tamil Nadu
 Job Summary
 
About the role As an Agentic Forward Deployed Engineer, you operate at the front line of delivery - embedded with the client, turning ambiguous business problems into production agents, fast. Your deliverable is Business Transformation Agents: autonomous and multi-agent systems that automate and reimagine real business processes such as invoice disputes, procurement approvals, onboarding, claims and compliance workflows. You own each agent end to end -conceptualize, build, integrate, evaluate, deploy, and sustain - and you lead a small team to do the same. You build exclusively in Python using agent development kits, and you bring Agentic AI capabilities to life inside the client's world, with Responsible AI, evaluation and security as non-negotiables. Technology mandate Language: Python preferable Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework / Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What you'll do • Conceptualize fast: embed with stakeholders, frame a business process as an agentic solution, and stand up a working agent prototype in days, not weeks. • Build Business Transformation Agents: design and ship single-agent and multi-agent systems in Python using ADKs that automate and transform real client workflows, with measurable ROI. • Own efficiency as the scorecard: drive delivery efficiency and operational efficiency ; shorter cycle times, less manual effort, higher accuracy, lower cost-to-serve. • Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG / context-graph retrieval, memory, tool / function calling, MCP integration and multi-agent orchestration. • Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication. • Make reusability and predictability the default: build reusable agent components, skills, tool libraries and templates; add guardrails so agent behaviour is predictable, safe and repeatable. • Prototype and iterate quickly: use the kit's scaffolding to prototype, then harden to production-grade, well-tested Python. • Run eval-driven development: build evaluation harnesses and test suites that measure agent correctness, safety and regression before anything ships. • Own AgentOps / DevSecOps: CI/CD for agents, versioning, observability and telemetry, shift-left security, and Responsible AI governance baked in from day one. • Run a continuous, adaptable feedback loop: feed production telemetry, evals and client feedback back into prompts, context and agent design. • Stay ahead of the curve: adopt evolving agent frameworks and patterns quickly, and bring field learnings back to the practice. • Lead and mentor: set technical direction for a lean team of 3 agent engineers, raise the engineering bar, and grow the pod's agentic capability. What you'll bring (must-have) • Strong Python engineering ; idiomatic, typed, tested and packaged code; on a foundation of solid software engineering principles (design, version control, architecture). • Hands-on agent building with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework / Semantic Kernel). • Solid command of agent engineering: prompt
 
Key Responsibilities
 1. Architect end-to-end AI/ML solutions using Python, TensorFlow, PyTorch, and scikit-learn, ensuring robust model development and deployment frameworks.
 2. Design scalable data pipelines and real-time processing systems utilizing Apache Spark, Kafka, and PostgreSQL to support machine learning workflows.
 3. Guide the team in implementing advanced ML models, including deep learning, NLP, and time series forecasting, using tools such as XGBoost, LightGBM, and Spark MLlib.
 4. Oversee integration of data engineering platforms like Apache Airflow, DataBricks, and RabbitMQ to optimize data ingestion, transformation, and orchestration for AI/ML projects.
 5. Ensure technical excellence by advocating best practices in model validation, performance optimization, and reproducibility across Python, R, and SQL-based environments.
 6. Collaborate with stakeholders to gather requirements, translate business needs into technical specifications, and deliver tailored AI/ML solutions that meet quality and compliance standards.
 7. Mentor and coach team members in advanced AI/ML concepts, fostering continuous learning and adoption of emerging technologies within the skill cluster.
 8. Architect and implement RESTful API integrations to enable seamless communication between AI/ML components and external systems, ensuring scalable, secure, and efficient data exchange across diverse enterprise environments.
 Skill Requirements
 1. Expert Proficiency In Ai/Ml Model Development, Including Classical Machine Learning, Deep Learning, Nlp, And Time Series Forecasting.
 2. Excellent Knowledge Of Python, R, Sql, And Bash For Data Analysis, Modeling, And Automation.
 3. Expertlevel Experience With Tensorflow, Pytorch, Scikitlearn, Pandas, Numpy, Xgboost, Lightgbm, And Spark Mllib For Building And Deploying Models.
 4. Advanced Proficiency In Designing And Managing Data Pipelines Using Apache Spark, Kafka, Airflow, Databricks, And Rabbitmq.
 5. Excellent Understanding Of Relational Databases Such As Postgresql And Mysql For Data Storage And Retrieval.
 6. Strong Ability To Translate Business Requirements Into Technical Solutions And Deliver Highcomplexity Ai/Ml Architectures.
 
Other Requirements
 
1. Optional But Valuable: 
2. Google Professional Machine Learning Engineer
 3. - Aws Certified Machine Learning Ã¯Â¿Â½ Specialty
 4. - Optional: Databricks Certified Machine Learning Professiona
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AI/ML Solutions Architect - PostgreSQL

Noventiq GCC

<div>
 
 Job Description
 
 
 
 Noventiq is expanding its team &amp; is on the lookout for goal-oriented, self-driven &amp; motivated individuals, to support the next phase of company&rsquo;s growth strategy.
 
 
 Industry: IT/Cloud Services
 
 
 Location: Riyadh, KSA
 
 
 Job Title &ndash; Senior Solutions Architect
 
 
 
 Role Overview
 
 
 
 We are looking for a
 
 Senior Solutions Architect &ndash; Data &amp; AI
 
 who can independently lead customer engagements, shape complex solutions, and drive strategic conversations across business and technology stakeholders.
 
 
 This role requires a
 
 self-driven, client-facing architect
 
 who is comfortable owning the entire solution lifecycle&mdash;from discovery to proposal&mdash;while specializing in
 
 modern data platforms, analytics, and AI/ML solutions on Azure
 
 .
 
 
 
 Fluency in Arabic is mandatory
 
 , as the role will involve direct engagement with Middle East customers.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Client Engagement &amp; Solution Ownership
 </li>
 <li>
 Act as the primary solutions architect in customer discussions&mdash;owning conversations end-to-end without dependency.
 </li>
 <li>
 Lead CXO-level and technical workshops, translating business challenges into scalable Data &amp; AI solutions.
 </li>
 <li>
 Independently drive solution discovery, architecture definition, and proposal creation.
 </li>
 <li>
 Build trusted advisor relationships with customer stakeholders, especially within Arabic-speaking regions.
 </li>
 <li>
 Data, AI &amp; Application Architecture
 </li>
 <li>
 Design and architect end-to-end enterprise solutions, including:
 </li>
 <ul>
 <li>
 Modern Data Platforms (Data Warehouses, Lakehouse, real-time analytics)
 </li>
 <li>
 AI/ML solutions (predictive analytics, NLP, GenAI, copilots)
 </li>
 <li>
 Application architectures (microservices, APIs, event-driven systems)
 </li>
 </ul>
 <li>
 Integrate data platforms with enterprise applications (CRM, ERP, custom apps).
 </li>
 <li>
 Define data strategies, API strategies, and application integration models.
 </li>
 <li>
 Ensure solutions are scalable, secure, high-performing, and cost-optimize
 </li>
 <li>
 Pre-Sales Leadership
 </li>
 <li>
 Lead the technical component of bids, proposals, and RFP responses.
 </li>
 <li>
 Develop high-quality solution artifacts:
 </li>
 <ul>
 <li>
 Architecture diagrams
 </li>
 <li>
 Cost models &amp; TCO optimization
 </li>
 <li>
 Implementation roadmaps
 </li>
 <li>
 Value propositions aligned to business outcomes
 </li>
 </ul>
 <li>
 Participate in solution demos, PoCs, and design validations.
 </li>
 <li>
 Business &amp; Strategic Alignment
 </li>
 <li>
 Translate customer business goals into measurable data and AI outcomes.
 </li>
 <li>
 Identify opportunities for:
 </li>
 <ul>
 <li>
 Data modernization
 </li>
 <li>
 AI adoption and innovation
 </li>
 <li>
 Upsell/cross-sell within existing accounts
 </li>
 </ul>
 <li>
 Balance technical excellence with commercial viability.
 </li>
 <li>
 Collaboration &amp; Delivery Alignment
 </li>
 <li>
 Work closely with sales, delivery, and engineering teams for seamless transition from presales to execution.
 </li>
 <li>
 Provide architectural oversight during initial delivery phases where needed.
 </li>
 <li>
 Mentor junior architects and engineers on Data &amp; AI, and application architecture
 
 </li>
 </ul>
 
 Required Skills &amp; Expertise
 
 
 
 
 Technical &ndash; Data &amp; AI
 
 
 
 <ul>
 <li>
 Strong expertise in Azure Data &amp; AI ecosystem, including:
 </li>
 <ul>
 <li>
 Azure Data Factory / Synapse / Microsoft Fabric
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure Machine Learning &amp; AI Services (incl. OpenAI)
 </li>
 </ul>
 <li>
 Deep understanding of:
 </li>
 <ul>
 <li>
 Data architecture patterns (Lakehouse, data mesh, etc.)
 </li>
 <li>
 Data governance, security, and compliance
 </li>
 <li>
 AI/ML lifecycle and MLOps
 </li>
 </ul>
 <li>
 Experience in Azure-native and hybrid architectures.
 
 </li>
 </ul>
 
 Technical &ndash; Application &amp; Integration
 
 
 
 <ul>
 <li>
 Strong experience in application architecture, including:
 </li>
 <ul>
 <li>
 Microservices and distributed systems architecture
 </li>
 <li>
 API design and management (REST, GraphQL, API gateways)
 </li>
 <li>
 Event-driven architectures (Kafka, messaging systems)
 </li>
 </ul>
 <li>
 Experience with application modernization:
 </li>
 <ul>
 <li>
 Monolith to microservices transformation
 </li>
 <li>
 Containerization and orchestration (Docker, Kubernetes)
 </li>
 </ul>
 <li>
 Familiarity with integration patterns:
 </li>
 <ul>
 <li>
 Data + application integration (ETL + APIs)
 </li>
 <li>
 Middleware and enterprise integration platforms
 </li>
 </ul>
 <li>
 Understanding of frontend/backend separation and digital application stacks
 
 </li>
 </ul>
 
 Professional
 
 
 
 <ul>
 <li>
 Proven track record of independently handling pre-sales engagements and closing complex deals.
 </li>
 <li>
 Strong ability to articulate business value, not just technical solutions.
 </li>
 <li>
 Experience working with Middle East clients is highly preferred.
 
 
 </li>
 </ul>
 
 Language
 
 
 
 <ul>
 <li>
 Fluency in Arabic (spoken and written) &ndash; mandatory
 </li>
 <li>
 Strong English communication skills
 
 
 </li>
 </ul>
 
 Experience &amp; Qualifications
 
 
 
 <ul>
 <li>
 8+ years of experience in technology consulting / architecture
 </li>
 <li>
 4+ years in Data &amp; AI solutions architecture
 </li>
 <li>
 Strong pre-sales or consulting background with customer-facing roles
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or related field
 
 
 </li>
 </ul>
 
 Certifications (preferred But Not Required)
 
 
 
 <ul>
 <li>
 Microsoft Certified: Azure Solutions Architect Expert
 </li>
 <li>
 Microsoft Certified: Azure Data Engineer Associate
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate
 </li>
 <li>
 Microsoft Certified: Designing Azure Solutions
 
 
 </li>
 </ul>
 
 Key Traits for Success
 
 
 
 <ul>
 <li>
 Self-starter with the ability to operate independently in high-stakes environments
 </li>
 <li>
 Strong storytelling and executive communication skills
 </li>
 <li>
 Commercially aware with a solution-selling mindset
 </li>
 <li>
 Passion for Data, AI, and emerging technologies
 
 
 
 
 </li>
 </ul>
 Location: Riyadh - NQKSA, Riyadh, Riyadh, Saudi Arabia
</div>

Senior Solutions Architect - Data & AI

Enum Technology & Solution Pvt Ltd

Job SummaryWe are looking for an exceptional Principal AI Engineer to lead the design, architecture, and deployment of enterprise-scale AI platforms. This is a senior technical leadership role requiring extensive experience in Generative AI, Large Language Models (LLMs), Agentic AI, Conversational AI, Retrieval-Augmented Generation (RAG), and Voice AI.The successful candidate will drive AI strategy, architect production-grade AI solutions, mentor engineering teams, and collaborate with executive leadership to deliver innovative AI capabilities across the organization.Key Responsibilities<ul><li>Architect and lead enterprise AI solutions using Generative AI, Agentic AI, Conversational AI, and LLM technologies.</li><li>Design and optimize advanced RAG pipelines, semantic search, embeddings, vector databases, and knowledge retrieval systems.</li><li>Build autonomous AI agents with reasoning, planning, tool integration, and multi-agent orchestration capabilities.</li><li>Develop production-grade conversational AI and Voice AI solutions with STT, TTS, VAD, and real-time streaming.</li><li>Lead LLM fine-tuning, prompt engineering, inference optimization, and model deployment.</li><li>Design scalable AI infrastructure using cloud platforms, Docker, Kubernetes, and distributed GPU environments.</li><li>Establish AI governance, evaluation frameworks, observability, security, and Responsible AI practices.</li><li>Mentor senior AI engineers and provide technical leadership across AI initiatives.</li></ul>Required Qualifications<ul><li>Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field (Mandatory).</li><li>15&ndash;20+ years of software engineering experience.</li><li>10&ndash;12+ years of hands-on AI/ML experience.</li><li>7&ndash;8+ years working with Large Language Models (LLMs), Generative AI, and enterprise AI applications.</li><li>Extensive experience designing Conversational AI, Agentic AI, and RAG-based solutions.</li><li>Expert-level Python programming skills.</li><li>Strong experience with vector databases, embeddings, semantic search, and enterprise AI architectures.</li><li>Experience with cloud platforms (AWS, Azure, or GCP), Docker, Kubernetes, APIs, microservices, and CI/CD.</li><li>Excellent leadership, communication, and stakeholder management skills.</li></ul>Technical SkillsAI Frameworks<ul><li>LangChain</li><li>LangGraph</li><li>LlamaIndex</li><li>PyTorch</li><li>Hugging Face</li><li>vLLM</li></ul>Vector Databases<ul><li>Pinecone</li><li>Milvus</li><li>Weaviate</li><li>FAISS</li><li>Azure AI Search</li></ul>Voice AI<ul><li>Whisper</li><li>Deepgram</li><li>ElevenLabs</li><li>Azure Speech Services</li></ul>Backend &amp; Cloud<ul><li>Python</li><li>FastAPI</li><li>Docker</li><li>Kubernetes</li><li>AWS</li><li>Microsoft Azure</li><li>Google Cloud Platform</li></ul>Preferred Qualifications<ul><li>Experience with MLOps, LLMOps, AI Governance, and Responsible AI.</li><li>Research publications, patents, or contributions in Artificial Intelligence.</li><li>Experience with open-source foundation models such as Llama, Mistral, DeepSeek, or Qwen.</li><li>Experience leading enterprise AI transformation and mentoring engineering teams.</li></ul>Why Join Us?<ul><li>Lead enterprise-scale AI transformation initiatives.</li><li>Work with cutting-edge Generative AI and LLM technologies.</li><li>Influence AI strategy and architecture across the organization.</li><li>Collaborate with highly experienced engineering and leadership teams.</li></ul>Work Location: In person

Principal AI Engineer

West Monroe

<div><div>Are you ready to make an impact?</div><div>
<h3 class="jobSectionHeader">
Applied AI Engineer/Architect</h3>

West Monroe is seeking an Applied AI Engineer/Architect to lead the design and delivery of enterprise AI solutions that solve complex business challenges. This role serves as the technical AI leader across client engagements and West Monroe assets, defining AI architectures, guiding implementation teams, and helping clients make informed decisions about when to leverage large language models (LLMs), deterministic automation, platform-native AI capabilities, or traditional software engineering approaches. As a Senior Architect, you will provide deep technical expertise, contribute to business development efforts, and help advance West Monroe's AI capabilities through reusable assets, thought leadership, and mentorship.
<h2 class="jobSectionHeader">
What You Will Do</h2>
<h3 class="jobSectionHeader">Client Delivery</h3>
<ul><li>Lead the architecture and delivery of enterprise AI solutions, including model selection, retrieval strategies, workflow orchestration, evaluation frameworks, observability, guardrails, and human oversight.</li>
<li>Design and implement AI-enabled applications using LLMs, agents, retrieval augmented generation (RAG), tool integrations, and secure production deployment patterns.</li>
<li>Define semantic models, ontologies, business objects, metadata strategies, permissions, and data contracts that enable reliable AI reasoning and enterprise workflows.</li>
<li>Advise clients on AI strategy, technical feasibility, data readiness, model selection, governance, responsible AI practices, and implementation roadmaps.</li>
<li>Partner with application, data, and cloud engineering teams to integrate AI capabilities into production systems, APIs, data platforms, security architectures, and operational workflows.</li>
<li>Establish AI evaluation methodologies using benchmark datasets, regression testing, red-team scenarios, quality metrics, and release criteria to ensure reliable and measurable outcomes.</li>
<li>Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising sound judgment in evaluating outputs.</li>
<li>Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes.</li>
</ul><h3 class="jobSectionHeader">Business Development</h3>
<ul><li>Serve as a trusted technical advisor during pursuits, helping shape AI strategy, solution architecture, and delivery approaches for complex client opportunities.</li>
<li>Support proposals, client presentations, and executive discussions by articulating AI capabilities, tradeoffs, risks, and business value.</li>
<li>Build credibility in the marketplace through deep expertise in enterprise AI architecture and emerging technologies.</li>
</ul><h3 class="jobSectionHeader">Practice Development</h3>
<ul><li>Develop reusable AI frameworks, accelerators, evaluation methodologies, and reference architectures that strengthen West Monroe's AI offerings.</li>
<li>Mentor engineers and architects while sharing technical expertise across project teams.</li>
<li>Stay current on frontier AI models, enterprise agent architectures, hyperscaler AI platforms, governance expectations, and secure deployment practices.</li>
<li>Contribute to thought leadership, internal capability building, and innovation initiatives that expand West Monroe's Applied AI practice.</li>
</ul><h2 class="jobSectionHeader">What You Will Bring</h2>
<ul><li>7+ years of experience in software engineering, data engineering, machine learning, applied AI, or technical architecture, including recent hands-on AI engineering experience.</li>
<li>Proven experience building production AI solutions using LLMs, AI agents, RAG, prompt engineering, AI evaluation frameworks, observability, MLOps, or machine learning platforms.</li>
<li>Strong Python development skills and proficiency in at least one additional enterprise technology stack such as TypeScript, Java, C#, or modern data engineering frameworks.</li>
<li>Experience with one or more leading AI ecosystems, including Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Microsoft Fabric, or comparable platforms.</li>
<li>Strong understanding of cloud architecture, APIs, identity and access management, security, data engineering, application integration, and production deployment practices.</li>
<li>Knowledge of semantic modeling, ontology design, knowledge representation, data governance, and enterprise AI architecture.</li>
<li>Ability to communicate AI concepts, technical tradeoffs, and implementation risks effectively to executive stakeholders, business leaders, architects, and engineering teams.</li>
<li>Experience integrating AI tools (e.g., ChatGPT) into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs.</li>
<li>Ability to travel 25 to 50%.</li>
<li>A commitment to inclusion and diversity, and openness to new ideas and perspectives.</li>
<li>Ability to work permanently in the United States without sponsorship.</li></ul> 


</div><div><div><div><div>Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below). 
 
Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company&rsquo;s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Eligibility for ten weeks of paid parental leave will also be available upon hire date.</div></div>
Seattle or Washington, D.C.
$236,300 - $277,700 USD</div><div>
Los Angeles
$247,500 - $291,000 USD</div><div>
New York City or San Francisco
$258,800 - $304,200 USD</div><div>
A location not listed above
$225,000 - $264,500 USD</div></div><div> 
<h3 class="jobSectionHeader">
Other consultancies talk at you. 
At West Monroe, we work with you.</h3>

We&rsquo;re a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.

The combination of business and technology is not new, but how we bring them together is unique. We&rsquo;re fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come.

At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what&rsquo;s next.

You&rsquo;ll feel the difference in how we work. We show up personally. We&rsquo;re right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn&rsquo;t a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact. 


West Monroe is an Equal Employment Opportunity Employer 
We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion. If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com.

Please review our current policy regarding use of generative artificial intelligence during the application process.

If you are based in California, we encourage you to read West Monroe&rsquo;s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here.</div></div>

Applied AI Engineer/Architect

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