Applied AI Solutions Architect
Location
India
Posted
4 days ago
Salary
0
Seniority
Senior
Job Description
Applied AI Solutions Architect
phData
• Own and drive end-to-end architecture, solution design, and delivery of agentic AI solutions for enterprise clients across diverse industries. • Design and build reusable agentic accelerators and reference architectures aligned with the Intelligence Platform that can be deployed across multiple clients in a fixed-price format. • Translate ambiguous business problems into clear agentic solution designs that align with the phData Intelligence Platform, methodologies, standards, and best practices. • Architect production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies for safe, accurate performance. before and after deployment. • Ensure engagements are delivered on time, within scope, and with measurable business value for clients. • Collaborate with others to shape the architectural standards for how agentic capabilities and accelerators are built and deployed at clients. • Engage with cross-functional partners, including forward-deployed engineers, data scientists, data engineers, platform/DevOps engineers, and business stakeholders, to deliver successful client engagements. • Ensure high quality in deliverables through code reviews, documentation, testing, governance, and adherence to security and compliance standards. • Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize patterns for deploying and operating AI solutions. • Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to AI engineering. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders. • Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives. • Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.
Job Requirements
- 6+ years of experience as an AI Engineer, Machine Learning Engineer, Software Engineer, or Data Engineer building and deploying production AI/ML solutions, including recent hands-on experience building LLM-powered or agentic applications.
- Hands-on understanding of Large Language Models, agentic architectures, and retrieval frameworks (RAG), including prompt design, context engineering, and tool/function calling
- Experience with LLM orchestration frameworks (e.g. LangChain, LlamaIndex) and the broader agentic stack, such as multi-agent patterns, memory, planning, and protocols (e.g. MCP)
- Experience designing evaluation, guardrail, and observability strategics for LLM and agent systems (LLMOps/AgentOps)
- Hands-on experience in modern programming languages, such as Python, including developing APIs
- Deep expertise in cloud-native AI/ML platforms (e.g. AWS Bedrock and SageMaker, Azure AI/ML, Snowflake Cortex) with proven experience deploying solutions into production
- Complete software development lifecycle experience including design, documentation, implementation, testing, deployment, and ongoing operations
- Demonstrated use of AI-assisted development tooling to accelerate delivery while maintaining quality
- Strong working knowledge of SQL and the ability to write, debug, and optimize complex and distributed queries.
- Experience delivering projects for external or internal clients in a professional services or consulting environment, ideally in a fixed-bid capacity.
- Ability to break down ambiguous problems into structured, actionable steps and drive them through to completion.
- Excellent written and verbal communication English., with experience presenting technical solutions to clients and facilitating discussions with both technical and business stakeholders.
- Demonstrated ability to work effectively with distributed and cross-functional teams across the US, LATAM, and India.
- Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision.
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience preferred.
Benefits
- Remote-First Workplace
- Medical Insurance for Self & Family
- Medical Insurance for Parents
- Term Life & Personal Accident
- Wellness Allowance
- Broadband Reimbursement
- Continuous learning and growth opportunities to enhance your skills and expertise
- Other benefits include paid certifications, professional development allowance, and bonuses for creating for company-approved content
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Role Description Als AI Solutions Architect nimmst du bei uns eine Schlüsselposition ein: Du bist das entscheidende Bindeglied zwischen unserer strategischen Beratung und der technologischen Umsetzung. Als eine:r der ersten dedizierten Engineering-Hires gestaltest du den Aufbau unserer technischen Umsetzungskraft maßgeblich mit und legst das technische Fundament für Kundenprojekte und Produktentwicklung, mit der klaren Perspektive, daraus mit wachsendem Unternehmen ein Engineering-Team aufzubauen und strategisch zu leiten. Da wir ein junges Unternehmen sind, gibt es bei uns kein starres Silodenken. Deine Rolle lebt von einer dynamischen Aufteilung, die sich mit uns weiterentwickelt: - Architektur & Prototyping (~50%): - Systemarchitektur: Du entwirfst skalierbare End-to-End-Architekturen für KI-Anwendungen (z. B. RAG-Pipelines, Multi-Agenten-Systeme) und planst deren Integration in bestehende IT-Landschaften. - Funktionale Prototypen (PoCs): Du konzipierst und baust Prototypen eigenhändig, um komplexe Use Cases schnell greifbar zu machen und Kundengremien zu überzeugen. - Produktentwicklung: Du gestaltest das technische Konzept und den logischen Aufbau unserer eigenen Software-Tools für Gute Arbeit mit. - Technische Beratung & Delivery (~30%): - Technologie-Evaluierung: Du bewertest Tech-Stacks unabhängig (z. B. kommerzielle APIs vs. self-hosted Open Source, EU-Hosting vs. Hyperscaler) und machst Trade-offs für Entscheider:innen verständlich. - Schnittstelle & Kunden-Steuerung: Du nimmst in den Projekten den technischen Lead ein, übersetzt fachliche Anforderungen in Blueprints und steuerst die Kommunikation mit den internen IT-Fachbereichen der Kunden. - LLMOps & Governance: Du verantwortest Konzepte für Testing, Monitoring und Guardrails und verankerst sie – gemeinsam mit Ethik- und Rechtsexpertise – nach dem Prinzip Compliance by Design (EU AI Act, Datenschutz). - Pre-Sales & Tech-Strategie (~20%): - Sales-Enablement & Scoping: Du begleitest das Gründerteam bei Pitches, übersetzt Kundenwünsche in machbare Tech-Konzepte und steckst die Grenzen dessen ab, was wir technologisch leisten können und wollen. - „Make-or-Buy“-Entscheidungen: Du behältst den Überblick über unsere technische Schlagkraft. Du entscheidest fundiert, wann wir Lösungen selbst entwickeln, wann wir externe Dienstleister oder Tools einkaufen und ab welchem Punkt ein fester interner Teamausbau strategisch notwendig ist. - Tech-Leadership als Perspektive: Du bist der fachliche Sparringspartner für das Gründerteam und gestaltest bei fortschreitendem Unternehmenswachstum das Hiring und die Struktur unseres zukünftigen Engineering-Teams mit. Qualifications - Mindestens 5 Jahre in Software-Engineering, Systemarchitektur oder Data-/ML-Engineering, davon nachweisbare Praxis mit produktiven GenAI-Systemen. - Nachweisbare, praktische Erfahrung mit dem produktiven Einsatz von GenAI (LLMs, RAG-Architekturen, agentische Patterns) in den letzten Jahren. - Du bist absolut sicher im Umgang mit Python sowie modernen Frameworks wie LangChain, LlamaIndex, LangGraph und MCP. - Du entwirfst Architekturen nicht nur auf dem Whiteboard, sondern baust funktionierende Prototypen selbst. - Du kennst dich mit Cloud-Infrastrukturen (AWS, Azure, GCP) ebenso aus wie mit On-Premise-Setups. - Du hast bereits Erfahrung in der Mandatsarbeit oder engen Kundenzusammenarbeit. - Du kannst komplexe Deep-Tech-Themen für das C-Level, Fachabteilungen und Gremien verständlich übersetzen. - Du sprichst Deutsch und Englisch verhandlungssicher. - Du hast ein Gespür für Machbarkeit, kannst Ressourcen richtig einschätzen und hast Lust, perspektivisch die Führung eines wachsenden Engineering-Teams zu übernehmen. - Echter innerer Antrieb für unser Leitbild „Gute KI. Gute Arbeit.“, digitale Souveränität, faire Verteilung von Produktivitätsgewinnen und Mitbestimmung. Requirements - Erfahrung in regulierten oder sensiblen Kontexten. - Tiefere MLOps-Erfahrung. - Erfahrung im Pre-Sales / in der Solution-Strategy für Pitches. - Open-Source-Beiträge oder relevante Publikationen. Benefits - Ein Arbeitsumfeld, das technologische Innovation mit gesellschaftlicher Verantwortung und nachhaltigen Werten verbindet. - Mandate mit Top-Stakeholdern aus Politik, Wirtschaft und Gewerkschaft, hohe persönliche Sichtbarkeit. - Flache Strukturen, die bewusste Abwesenheit von Mikromanagement und echte Verantwortung für deine Accounts und Themen. - Remote-first mit einem Kernteam in Berlin sowie flexiblen Arbeitszeiten, die zu deinem Leben passen. - 30 Tage Urlaub, ein eigenes Weiterbildungsbudget und modernste Arbeitsausstattung. - Ein transparentes Gehaltsband von 90.000 bis 110.000 € brutto p.a. auf Basis einer 40h Woche (je nach Erfahrung). - Die Stelle ist aufgrund unserer agilen Startup-Phase zunächst auf ein Jahr befristet. Eine Entfristung wird bei entsprechender Geschäftsentwicklung ausdrücklich angestrebt.
Digital Solutions Enterprise Architect and Team Lead
SSC HR SolutionsBuilding your business together!
Role Description We are seeking an experienced and strategic Enterprise Architect and Technical Team Lead to serve as the technical "Mastermind" and primary technical leader for large-scale projects. This role requires exceptional expertise in technical architecture and solution design across diverse software technologies, combined with proven team leadership skills necessary to guide large, multi-disciplinary project teams from concept through successful delivery. Key Responsibilities - Enterprise Solution Architecture - Define the technical vision, strategy, and roadmap for large projects, ensuring alignment with overall enterprise goals and architecture standards. - Lead the design and architecture of highly scalable, secure, and resilient solutions across various software technologies (e.g., Cloud, Microservices, Integration Platforms, automation, Data/AI, etc.). - Act as the subject matter expert and decision-maker on architecture choices, evaluating and selecting the most appropriate technologies for specific business needs. - Establish and enforce architecture governance, design patterns, and development standards to ensure consistency and quality across all development efforts. - Own architecture decision records (ADRs) and ensure technical decisions are documented and traceable. - Technical Team Leadership - Lead and manage large project teams, providing clear technical direction, motivation, and mentorship to senior developers and technical leads. - Oversee the technical implementation and delivery process, ensuring adherence to the architectural design and driving timely completion of project milestones. - Establish review processes and ensure the team maintains high standards for performance, security, and maintainability. - Act as the escalation point for technical challenges, providing hands-on assistance and strategic guidance to unblock the team. - Manage technical debt proactively — balance delivery speed with long-term maintainability. - Foster a culture of engineering excellence through code reviews, pair programming, and internal tech talks. - DevSecOps & Quality Engineering - Champion CI/CD pipelines, automated testing strategies, and Infrastructure-as-Code practices. - Define SLAs, SLOs, and observability standards (logging, monitoring, alerting). - Strategic Business & Delivery Alignment - Work with business and IT stakeholders to translate business objectives and digital service requirements into clear, executable technical specifications. - Guide the team in designing the digital services that enhance the end-user experience and achieve optimal delivery outcomes. - Define the best implementation and deployment strategies. - Proactively identify technical risks, dependencies, and bottlenecks across the entire delivery lifecycle and implement mitigation strategies. Qualifications - Fluent in both Arabic and English. - Extensive experience (15+ years) in software development and solution architecture. - Experience in designing architectures using modern software technologies. - Experience in Networking and System related to software deployment and architecture design. - Proven track record of successfully leading and managing large technical projects. - Demonstrated ability to connect business strategy, technical implementation, and operational delivery across diverse projects. - Communication, negotiation, and stakeholder management skills, with the ability to articulate complex technical ideas to both technical and non-technical audiences. - Hands-on experience with at least one major cloud platform (AWS/Azure/GCP) — ideally certified. - Experience with architecture frameworks (TOGAF, Zachman, or equivalent). - Familiarity with agile/SAFe delivery at scale. - Experience in government or enterprise systems integration projects is a plus. Education - Bachelor’s or Master’s degree in computer science, or a related field. - Relevant professional certifications are highly desirable. Engagement Details - Engagement: Full-time, Permanent - Location: Remote (Egypt/other) - This position is fully remote and supports Dubai, UAE operations. Candidates must be available to work in alignment with UAE business hours. - Language: Arabic, English (Proficiency C1 and C2 Levels)



