senior solution engineer

OmniOps

<div>
 OmniOps is a Riyadh-based technology solutions provider, serving organizations across Saudi Arabia and beyond. With offices in Jordan, Egypt, and Morocco, we specialize in empowering businesses to migrate and scale their AI technology infrastructure confidently, achieving a high level of maturity in their digital landscapes. Our comprehensive services and products guarantee seamless cloud migration, scalability, and management, ensuring optimal performance and consistent reliability for our valued partners.
 
 
 
 Role Description
 
 
 
 We are looking for a highly experienced Senior Solution Engineer to join our Riyadh team. In this role, you will serve as a trusted technical advisor, partnering with customers to design innovative AI-driven solutions that address complex business challenges. You will work closely with Sales, Product, Engineering, and executive stakeholders to lead technical engagements, shape solution strategies, and position OmniOps as a strategic AI transformation partner.
 
 
 The ideal candidate combines strong technical expertise with excellent customer-facing, consulting, and presentation skills, and has hands-on experience designing enterprise AI, cloud, and data solutions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Partner with Sales and Business teams to understand customer objectives, business challenges, and technical requirements throughout the sales lifecycle.
 </li>
 <li>
 Lead technical discovery sessions, workshops, and architecture discussions to identify customer needs and define solution success criteria.
 </li>
 <li>
 Design scalable, secure, and cloud-native AI solution architectures tailored to customer environments.
 </li>
 <li>
 Translate business requirements into AI-driven solutions leveraging Generative AI, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent agents, MLOps, data platforms, and cloud technologies.
 </li>
 <li>
 Deliver executive presentations, technical demonstrations, architecture reviews, and Proof of Concept (PoC) engagements.
 </li>
 <li>
 Prepare and lead technical responses for RFPs, RFIs, proposals, solution architectures, and technical documentation.
 </li>
 <li>
 Collaborate with Product Management, Data, and Engineering teams to ensure proposed solutions align with customer requirements and product capabilities.
 </li>
 <li>
 Lead customer workshops focused on AI strategy, enterprise architecture, data governance, intelligent automation, and digital transformation.
 </li>
 <li>
 Ensure a seamless transition from presales to delivery by validating solution architecture, implementation approach, technical scope, assumptions, and risks.
 </li>
 <li>
 Stay up to date with emerging AI technologies, cloud platforms, and industry trends to continuously strengthen OmniOps' solution portfolio.
 </li>
 <li>
 Mentor junior Solution Engineers and technical team members through coaching, technical reviews, and knowledge sharing.
 </li>
 <li>
 Represent OmniOps during executive customer meetings, partner engagements, conferences, and technical events.
 </li>
 <li>
 Contribute to presales methodologies, reusable solution assets, best practices, and technical playbooks.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.
 </li>
 <li>
 A Master's degree is considered an advantage.
 </li>
 <li>
 5+ years of experience in Solution Engineering, Presales, Solutions Architecture, Cloud Consulting, or Enterprise Software.
 </li>
 <li>
 Proven experience leading enterprise customer engagements from technical discovery through solution design and successful technical closure.
 </li>
 <li>
 Experience working with enterprise customers across cloud, AI, or digital transformation initiatives.
 </li>
 <li>
 Strong knowledge of Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, MLOps, and enterprise AI architectures.
 </li>
 <li>
 Hands-on experience developing or supporting Generative AI and Agentic AI applications.
 </li>
 <li>
 Experience with Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP), including cloud-native architectures and integration patterns.
 </li>
 <li>
 Solid understanding of APIs, enterprise integration, networking, identity and access management, security, containers, and modern data platforms.
 </li>
 <li>
 Experience designing enterprise-scale cloud and AI architectures.
 </li>
 <li>
 Experience delivering Proofs of Concept (PoCs), technical workshops, demonstrations, and executive presentations.
 
 
 </li>
 </ul>
 
 Skills &amp; Competencies
 
 
 
 <ul>
 <li>
 Excellent solution architecture and technical consulting skills.
 </li>
 <li>
 Strong customer engagement and stakeholder management capabilities.
 </li>
 <li>
 Consultative selling mindset with the ability to align technology solutions to business outcomes.
 </li>
 <li>
 Excellent communication, presentation, and documentation skills.
 </li>
 <li>
 Strong analytical and problem-solving abilities.
 </li>
 <li>
 Ability to manage multiple customer engagements in a fast-paced environment.
 </li>
 <li>
 Leadership and mentoring experience with junior technical team members.
 </li>
 <li>
 Collaborative mindset with the ability to work effectively across Sales, Product, Engineering, and Delivery teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 AI, cloud, or enterprise architecture certifications (Microsoft Azure, AWS, Google Cloud, Kubernetes, or equivalent).
 </li>
 <li>
 Experience working for AI, cloud, or enterprise software vendors, system integrators, or technology consulting firms.
 </li>
 <li>
 Knowledge of enterprise AI governance, responsible AI practices, and modern data architectures.
 </li>
 <li>
 Familiarity with digital transformation initiatives across enterprise and government sectors in the GCC.
 </li>
 </ul>
</div>

Senior Solution Engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Job Description
We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you've come to the right place. 
 
<h2 class="jobSectionHeader">About the Role
</h2>Production leadership required. Builder mindset non-negotiable. 
 
Salesforce is hiring a Portfolio Leader to directly manage and grow a team of technical AI specialists deploying Agentforce solutions inside complex customer environments. This is a hands-on leadership role for someone who can drive engineering excellence while operating at the executive level. This is not a traditional people manager, but a mission-critical multiplier on the agentic frontier. You will lead a blended delivery team made up of two specialist functions: Forward Deployed Engineers (Technical Builders - who design, build, and deploy AI Agents directly in customer environments) and Deployment Strategists (Strategic Builders - customer-facing advisors who shape AI strategy, define use cases, and drive adoption). Together, these teams work alongside customers to co-build and deliver agentic AI solutions on a single large enterprise account or across multiple engagements simultaneously. You'll set the engineering standards, unblock complex customer deployments, and scale the talent that's shipping production AI today. 
 
<h2 class="jobSectionHeader">The Builder Leadership Experience
</h2>Delivery Team Coordination: You own the capacity planning, talent acquisition, and staffing that ensures your cross-functional squads have the horsepower to deploy Agentforce at enterprise scale.
<ul><li>AI-Augmented Leadership: Your team ships solutions using a best-in-class suite of AI tools (Cursor, Claude, and Salesforce coding products like Vibes). You will foster an inclusive, high-energy, and psychologically safe engineering culture where builders iterate fast and continuously level up.
</li><li>Direct Product Influence: You stand at the center of the product feedback loop. Partner directly with the Product and Engineering organizations on pilot programs and beta rollouts, turning raw field insights from high-stakes deployments into features on the Agentforce core roadmap. 
 
</li></ul><h2 class="jobSectionHeader">What You'll Actually Be Building &amp; Execution
</h2><h3 class="jobSectionHeader">Leadership &amp; Team Excellence
</h3><ul><li>Scale Elite Talent: Recruit, mentor, and develop the next wave of Technical and Strategic Builders. Drive technical excellence, structure career growth, and foster an environment where shipping high-quality, production-ready systems is the norm.
</li><li>Maintain Operational Velocity: Monitor key delivery metrics, coach your teams on optimization, and run hard on complex customer escalations. You ensure your teams move from sketch to deployable in weeks, not months. 
 
</li></ul><h3 class="jobSectionHeader">Technical Strategy &amp; Authority
</h3><ul><li>Ultimate Technical Authority: Serve as the final technical escalation point for your portfolio. Maintain deep architectural judgment across the Salesforce platform, advanced LLM techniques, data pipelines, and agentic orchestration.
</li><li>Guide Enterprise Implementations: Unblock complex data readiness, tool integration, and multi-agent orchestration challenges. Step in directly to help your teams assess customer technical readiness, remove deployment barriers, and codify standardized, repeatable delivery methodologies. 
 
</li></ul><h3 class="jobSectionHeader">Customer &amp; Business Impact
</h3><ul><li>Drive Agentic Adoption: Build and anchor strong executive-level relationships within your customer portfolio, ensuring flawless Agentforce activation, rollout, and sustained production value.
</li><li>Accelerate Portfolio Performance: Operationally run your account portfolio with engineering rigor - monitoring health, delivery velocity, and core consumption metrics to accelerate progress toward customer business outcomes.
</li><li>Cross-Functional Alignment: Partner lock-step with Services, Account Success, and Product teams to help enterprises activate and consume Agentforce quickly, moving customers from pilot to production at hyper-speed. 
 
</li></ul><h2 class="jobSectionHeader">You're Our Builder Lead If&hellip;
</h2><ul><li>You Have Proven Leadership: 4+ years of direct people management or high-impact technical leadership steering cross-functional engineering or technical teams. You have a track record of hiring, mentoring, and scaling technical talent.
</li><li>You Bring Advanced Technical Depth: Deep architectural understanding of AI, LLMs, and the Salesforce ecosystem. You have hands-on experience with enterprise software implementation, data modeling, API integration, and AI deployments.
</li><li>You Own the Agentforce &amp; Data Cloud Blueprint: You possess direct, hands-on experience architecting or deploying Salesforce Data Cloud and the Agentforce platform. You don't just understand the tech stack - you know how to orchestrate it to unblock enterprise scale and drive immediate production value.
</li><li>You Lead with an Enterprise Customer Focus: Strong background navigating high-touch customer strategies at a Global level, paired with exceptional executive-level communication and influence skills. You can hold your own in a room with customer CTOs and enterprise architects.
</li><li>You Have a Ship-It Mindset: Exceptional problem-solving instincts, extreme resourcefulness, and a &quot;get-things-done&quot; demeanor. You thrive at the technical helm where code is being actively shipped, not just talking about it. 
 
</li></ul><h2 class="jobSectionHeader">Nice-to-Haves
</h2><ul><li>Hands-on experience building multi-agent systems, prompt engineering pipelines, or deterministic AI guardrails.
</li><li>Familiarity with cloud data platforms (Snowflake, Databricks, BigQuery) and enterprise data pipelines.
</li><li>Relevant Salesforce certifications (Advanced Admin, Service Cloud, Data Cloud, Sales Cloud, or Agentforce Specialist).
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Senior Director, Solution Engineer

Snowflake

<div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important healthcare customers. This is a named-account role: your entire focus will be a single global healthcare organisation, whether a payer, provider, life sciences company, or health technology platform. You will own the full technical relationship, drive use case expansion across the organisation's clinical, operational, and research functions, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior-level, high visibility role with global scope and direct exposure to Snowflake's leadership.
AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL:
<ul><li>Own the end-to-end technical relationship for a single strategic Global Account in healthcare, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion
</li><li>Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the account's clinical, operational, and research data priorities
</li><li>Design and lead proof of concept engagements covering healthcare use cases including clinical data interoperability, population health analytics, claims and payer data processing, real-world evidence, and AI/ML for diagnostics and care optimisation
</li><li>Act as a subject matter expert on healthcare data architecture, translating complex regulatory and technical requirements (HIPAA, GDPR, HL7/FHIR) into practical, production-ready Snowflake solutions
</li><li>Partner closely with the Account Executive and leadership as the sole technical owner of the account, co-developing the joint success plan and ensuring technical alignment across every active opportunity
</li><li>Serve as the primary internal advocate for the account within Snowflake, coordinating across Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption
</li><li>Mentor and support junior Solution Engineers on the team, elevating the technical standard of the global accounts practice</li></ul>
OUR IDEAL SENIOR SOLUTION ENGINEER WILL HAVE:
<ul><li>8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology, with significant exposure to healthcare or life sciences customers
</li><li>Deep understanding of healthcare data use cases including clinical interoperability (HL7/FHIR), claims and payer analytics, population health, realworld evidence, and AI/ML for diagnostics or care optimisation
</li><li>Strong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade solutions live Proficiency in SQL, Python, and data engineering tools commonly used in healthcare environments (dbt, Spark, or equivalent)
</li><li>Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, CMIOs, and CIOs at large healthcare organisations
</li><li>Track record of leading complex technical evaluations, winning competitive PoCs, and building lasting technical relationships within a single strategic enterprise account</li><li>
Experience using AI and LLM-based tools in technical workflows, with the ability to articulate Snowflake's Cortex AI capabilities in a healthcare context, including data privacy and compliance considerations</li></ul>
BONUS POINTS FOR THE FOLLOWING:
<ul><li>Direct experience working within or selling to health systems, payers, life sciences companies, or health technology platforms
</li><li>Hands-on experience with Snowflake including Cortex AI, data sharing, Snowpark, and Native Apps Familiarity with healthcare interoperability standards (HL7, FHIR, OMOP) and regulatory frameworks (HIPAA, GDPR)
</li><li>Experience with real-time or near-real-time clinical and operational data pipelines in regulated environments
</li><li>Background in data governance, de-identification, or privacy-preserving analytics relevant to healthcare compliance requirements
</li><li>Prior experience in a dedicated named-account or strategic account SE role, where your sole focus was one customer</li></ul>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com</div>

Staff Software Engineer - Snowhouse

Artefact

<div>
 
 
 Gemini Director (Agentic AI) &mdash; Artefact Middle East
 
 
 
 
 
 
 Artefact MENA is looking for a client-facing Gemini Director to lead the Gemini Enterprise &amp; Agentic AI offering.
 
 
 
 
 
 This is a hybrid role involving solution architecture, hands-on engineering, technical pre-sales and business development.
 
 
 
 
 
 You'll partner with Artefact leadership, Google Cloud, and senior client stakeholders to spot opportunities, shape solutions, build demos and PoCs, and scale them into production AI programmes.
 
 
 
 
 
 
 What you'll do as the Gemini Director (Agentic AI):
 
 
 <ul>
 <li>
 Identify and shape Gemini Enterprise and agentic AI opportunities across new and existing clients
 </li>
 <li>
 Lead technical discovery sessions, workshops, demos, pitches and PoCs
 </li>
 <li>
 Translate business challenges into AI use cases, solution architectures and implementation roadmaps
 </li>
 <li>
 Design enterprise-grade solutions using Gemini, Vertex AI, AI agents, RAG, tool use and enterprise integrations
 </li>
 <li>
 Build prototypes and production solutions using Python, APIs, SDKs and cloud-native tech
 </li>
 <li>
 Embed evaluation, security, governance, observability and human-approval controls
 </li>
 <li>
 Help clients adopt Gemini Enterprise and AI-assisted development across their engineering lifecycle. Partner closely with Google Cloud on joint accounts, propositions and reusable solutions
 </li>
 <li>
 Support proposals, technical estimations and commercial discussions
 </li>
 <li>
 Turn early PoCs into enterprise-scale AI transformation programmes
 </li>
 </ul>
 
 
 
 
 
 What you bring
 
 
 <ul>
 <li>
 Experience as a GenAI Architect, AI Solution Architect, Lead AI Engineer, Forward Deployed Engineer or AI Solutions Engineer
 </li>
 <li>
 Hands-on track record building enterprise applications with frontier LLMs
 </li>
 <li>
 Strong grasp of agentic AI, RAG, tool use, context engineering, evaluation and LLMOps
 </li>
 <li>
 Solid Python, API integration and cloud engineering skills
 </li>
 <li>
 Experience deploying AI solutions on Google Cloud, AWS or Azure
 </li>
 <li>
 Confidence engaging CIOs, CTOs, CDOs and senior business leaders
 </li>
 <li>
 Background in technical pre-sales, consulting, solution engineering or client-led business development
 </li>
 <li>
 Ability to carry an opportunity from first idea through architecture, prototype and production
 </li>
 <li>
 An entrepreneurial, commercially-minded approach to building a new offering
 </li>
 <li>
 Gemini/Google Cloud experience is a strong plus &mdash; but deep experience with other frontier-model platforms works too
 </li>
 </ul>
 
 
 
 
 
 Success in year one looks like:
 
 Becoming Artefact MENA's go-to technical and commercial leader for Gemini Enterprise and agentic AI &mdash; building a strong pipeline, leading flagship client engagements, and creating reusable Gemini and agentic AI propositions.
 
 
 
 
 
 📍 Middle East | Artefact Middle East
 
 
 
 
</div>

Gemini Director (Agentic AI)

Entrust Corporation

<div><div>Join us at Entrust</div><div>
At Entrust, we&rsquo;re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.</div><div> 
Get to Know Us</div><div>
Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It&rsquo;s the curiosity, dedication, and innovation that drive our success and help us anticipate the future.</div>
The Principal IT Engineer is a highly senior, customer-facing technical expert for Entrust Professional Services in the Americas. This individual contributor role combines the deployment depth of a senior systems integrator with the consultative, architectural, commercial and continuous-improvement capability of an issuance industry consultant. The role supports internal teams, partners and customers by solving complex technical and operational problems involving Entrust solutions, related issuance products and services.
The role serves as a go-to subject matter expert and senior escalation point for complex solution architecture, root-cause analysis, customization challenges, proposal support, cross-training, high-complexity estimation, product feedback and long-term corrective programs. Success depends on deep product and professional services knowledge, independent judgment, structured follow-through, customer empathy, commercial awareness and the ability to influence diverse stakeholders without direct authority.<h1 class="jobSectionHeader">
Responsibilities</h1>
Senior Technical Escalation, Architecture &amp; Integration (45%)<ul><li>
Act as one of the most senior technical escalation resources for complex Professional Services, partner and customer issues across the Americas.</li><li>
Perform remote and on-site discovery, installation, integration, configuration, validation and troubleshooting for Entrust issuance solutions.</li><li>
Assess customer environments, technical constraints, security needs, system dependencies and operational risks to create practical architectural solutions.</li><li>
Troubleshoot advanced issues across servers, networks, operating systems, databases, personalization hardware, product software, availability, scalability and secure production environments.</li><li>
Support root-cause analysis for recurring or high-impact issues, document findings, recommend corrective actions and help prevent recurrence.</li><li>
Liaise between customers, partners, Professional Services, Technical Support, Engineering, Product Management and Sales to move complex issues toward resolution.</li></ul>
Consulting, Customer Engagement &amp; Revenue Generation (25%)<ul><li>
Engage customers on-site and remotely to understand business requirements, operational pain points, production constraints and desired outcomes.</li><li>
Translate complex technical and operational observations into clear recommendations, solution options, consulting reports and proposals.</li><li>
Support pre-sales, sales and bid teams with complex estimates, technical assumptions, solution positioning, proposal content and value-based service offerings.</li><li>
Serve as a trusted advisor to customers and external delivery partners, helping them understand Entrust capabilities, solution trade-offs and implementation considerations.</li><li>
Identify services or solution patterns that can be packaged, priced and offered to existing or new customers in partnership with Sales, Product Management and Professional Services leadership.</li></ul>
Knowledge Leadership, Mentorship &amp; Product Feedback (20%)<ul><li>
Provide informal mentorship, coaching and technical guidance to systems integrators, developers, engineers, project managers, partners and support teams.</li><li>
Contribute product, architecture, serviceability and implementation feedback to Engineering and Product Management based on field experience.</li><li>
Create or improve reusable documentation, troubleshooting guides, deployment notes, solution patterns, best-practice playbooks and internal enablement material.</li><li>
Stay current on Entrust products, services, issuance market trends, customer drivers and emerging technologies relevant to Americas Professional Services.</li><li>
Support stakeholders outside the Americas or outside Professional Services when specialized expertise is needed, while remaining primarily focused on Americas delivery and consulting priorities.</li></ul>
Continuous Improvement (10%)<ul><li>
Break highly complex issues into actionable workstreams, milestones, owners, dependencies, risks and measurable outcomes.</li><li>
Identify recurring root causes that reduce quality, delivery efficiency, profitability or customer experience, and recommend sustainable corrective programs.</li><li>
Quantify improvements where possible, including reduced defects, improved service efficiency, reduced rework, improved customer outcomes or better project margin performance.</li><li>
Promote practical use of automation, AI productivity tools, templates, knowledge repositories and repeatable methods to improve Professional Services execution.</li></ul><h1 class="jobSectionHeader">
Basic Qualifications</h1><ul><li>
Bachelor&rsquo;s degree in Computer Science, MIS, Engineering, Industrial Engineering or a related technical field, or equivalent practical experience.</li><li>
Minimum of 15+ years of experience as a senior systems integrator, systems engineer, software/support engineer, solutions architect, technical consultant or related role.</li><li>
Deep experience with card personalization, including but not limited to: EMV, issuance environments, production-management solutions, and others (not exhaustive list).</li><li>
Strong understanding of secure customer environments, including financial, government, bureau or identity personalization operations.</li><li>
Experience performing customer-site discovery, requirements assessment, solution design, installation, integration, validation and production troubleshooting.</li><li>
Strong working knowledge of infrastructure technologies such as Windows/Linux servers, networking, DNS, Active Directory, IIS, databases, availability and scalability.</li><li>
Ability to troubleshoot across software, hardware, network, database, production workflow and customer-operational layers.</li><li>
Experience supporting complex proposals, estimates, assumptions, risk identification and solution options for large or technically challenging projects.</li><li>
Strong communication, presentation, customer engagement and relationship-building skills, including the ability to explain complex technical topics to non-technical stakeholders.</li><li>
Ability to travel throughout North, Central and South America for customer-site assessments, requirements gathering, installation, integration, troubleshooting and relationship building.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Entrust product experience, including DPP, Adaptive Issuance, Secura, card/credential issuance, central issuance, bureau solutions, related personalization software or adjacent identity and payment solutions.</li><li>
Familiarity with PKI, key management, HSMs, secure credential issuance, EMV personalization and related security concepts.</li><li>
Experience with scripting, automation or technical customization using tools such as PowerShell, Python, JavaScript, SQL or similar technologies.</li><li>
Experience with cloud, containerization or modern platform technologies such as Azure, AWS, Docker, Kubernetes or similar tools.</li><li>
Experience developing consulting reports, architecture recommendations, business cases, implementation roadmaps or operational improvement plans.</li><li>
Experience creating customer-facing proposals, unsolicited proposals, consulting packages, service offerings or pre-sales technical materials.</li><li>
Working knowledge of project financial fundamentals, including cost-effective delivery decisions, margin awareness, effort estimation and resource-efficiency trade-offs.</li><li>
Experience with analytics, operational assessment, Lean/continuous-improvement methods, process optimization or production-efficiency improvement.</li><li>
Multilingual capability or experience working across diverse Americas customer environments is an asset.</li></ul><div>
At Entrust, we don&rsquo;t just offer jobs &ndash; we offer career journeys. Here is what you can expect when you join our team:</div><div><ul><li>
Career Growth: Whether you&rsquo;re a budding developer or a seasoned expert, we&rsquo;re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority.</li></ul></div><div><ul><li>
Flexibility: Life is all about balance. Whether you&rsquo;re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.</li></ul></div><div><ul><li>
Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.</li></ul></div><div>
We believe in securing identities&mdash;but it doesn&rsquo;t stop there. At Entrust, we&rsquo;re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we&rsquo;re creating a community where everyone is encouraged to be themselves.</div><div> 
Ready to Make an Impact?</div><div>
If you&rsquo;re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let&rsquo;s build a more secure world&mdash;together.</div><div> 
Apply today!</div><div> 
For more information, visit www.entrust.com. Follow us on, LinkedIn, Facebook, Instagram, and YouTube</div>
Compensation Range: 

The anticipated starting base pay for this position is: $142,797-$209,436 per year (in the primary posting location). Actual compensation will be determined based on geographic location, education, skills and experience. This position is also eligible for the company&rsquo;s discretionary annual incentive plan. In addition to your pay, Entrust offers eligible colleagues and their dependents comprehensive health and well-being programs which include medical, vision, dental, a generous 401(k) matching contribution, life and disability insurance, mental health coaching, virtual fitness programs, paid personal time off plus 12 paid holidays, parental leave and education reimbursement. Please speak with the recruiter for more details. Note: Benefit and Compensation programs are subject to eligibility requirements and other terms of the applicable plan or program. Entrust has the right to end, suspend or amend any of its plans at any time in whole or in part.
For US roles, or where applicable:
Entrust is an EEO/AA/Disabled/Veterans Employer
For Canadian roles, or where applicable:
Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.
If you require an accommodation, contact accessibility@entrust.com.
Recruiter:
Steve Donahue
Steve.Donahue@entrust.com</div>

Principal IT Engineer

Coducer Technologies Private Limited

Senior Azure AI Engineer &ndash; Contract RoleJob Title: Senior Azure AI Engineer Employment Type: Contract Experience: 5+ Years Location: Bangalore / Hybrid Work Mode: [On-site / Hybrid / Remote] Contract Duration: [6 Months / 1 Year]Job SummaryWe are looking for an experienced Senior Azure AI Engineer with 5+ years of professional experience to contribute to the implementation of AI solutions on Microsoft Azure.The candidate will primarily focus on backend services and components and will be responsible for supporting the complete development lifecycle, including requirements gathering, solution design, development, deployment, security, monitoring, and troubleshooting.The ideal candidate should have strong hands-on experience with Azure services, Python, data management, messaging/eventing, vector databases, and containerized applications.Key Responsibilities<ul><li>Contribute to all phases of implementing AI solutions on Microsoft Azure.</li><li>Participate in requirements gathering, technical design, development, testing, deployment, and maintenance.</li><li>Develop scalable and reliable backend services and components using Python and Azure technologies.</li><li>Integrate Azure services and third-party SDKs into AI applications.</li><li>Work with Azure data management services for storing, processing, and retrieving application data.</li><li>Implement messaging and event-driven architectures using Azure messaging and eventing services.</li><li>Work with vector databases to support AI/ML and Retrieval-Augmented Generation (RAG) use cases.</li><li>Design and implement containerized applications and deploy them on Azure.</li><li>Monitor applications and Azure resources and troubleshoot performance, availability, and operational issues.</li><li>Implement appropriate security practices across applications, APIs, data, and Azure resources.</li><li>Collaborate with AI/ML engineers, software developers, DevOps engineers, architects, and other stakeholders.</li><li>Participate in code reviews and ensure adherence to coding and development best practices.</li><li>Optimize application performance, scalability, reliability, and cost.</li><li>Prepare and maintain technical documentation related to solutions and deployments.</li></ul>Required Technical SkillsAzure<ul><li>Strong hands-on experience with Microsoft Azure.</li><li>Proficiency with Azure SDKs and third-party SDKs used in Azure.</li><li>Experience with Azure data management services.</li><li>Experience with Azure monitoring, logging, and troubleshooting.</li><li>Experience with Azure messaging and eventing services.</li><li>Experience deploying and managing applications in Azure.</li></ul>Programming<ul><li>Strong proficiency in Python.</li><li>Experience developing backend services, APIs, and integrations.</li><li>Good understanding of software development principles and design patterns.</li></ul>AI / Data<ul><li>Experience working with vector databases.</li><li>Understanding of AI/ML application architectures.</li><li>Exposure to RAG, embeddings, semantic search, or LLM-based applications is preferred.</li><li>Experience working with data pipelines and data storage solutions is an advantage.</li></ul>Containers &amp; Deployment<ul><li>Hands-on experience developing and deploying containerized applications on Azure.</li><li>Good understanding of Docker and container-based application architecture.</li><li>Experience with CI/CD and DevOps practices is preferred.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field.</li><li>5+ years of professional software/backend development experience.</li><li>Strong hands-on experience with Azure-based application development.</li><li>Strong Python programming skills.</li><li>Experience working with Azure data, monitoring, messaging/eventing, and containerization.</li><li>Experience working with vector databases.</li><li>Strong troubleshooting and problem-solving abilities.</li><li>Good understanding of application security and cloud best practices.</li></ul>Preferred Skills<ul><li>Azure AI services / Azure OpenAI.</li><li>Retrieval-Augmented Generation (RAG).</li><li>Large Language Model (LLM) applications.</li><li>Azure Functions.</li><li>Azure Container Apps / AKS.</li><li>Azure Service Bus / Event Grid / Event Hubs.</li><li>Azure Storage / Cosmos DB / Azure SQL.</li><li>Application Insights / Azure Monitor.</li><li>Docker and Kubernetes.</li><li>REST APIs and microservices.</li><li>CI/CD pipelines.</li><li>Git and Agile/Scrum methodologies.</li></ul>Key Competencies<ul><li>Azure Cloud Development</li><li>Python Backend Development</li><li>AI Solution Implementation</li><li>Vector Databases</li><li>Cloud Data Management</li><li>Messaging &amp; Event-Driven Architecture</li><li>Containerized Applications</li><li>Monitoring &amp; Troubleshooting</li><li>Security</li><li>API Development</li><li>Problem Solving</li><li>Technical Design</li></ul>Contract DetailsEmployment Type: Contract Experience: 5+ Years Contract Duration: 6 Months Location: Bangalore Work Mode: In person Joining: Immediate JoinerPay: ₹509,436.64 - ₹1,868,808.54 per yearWork Location: In person

Artificial Intelligence Engineer

HappieHire

<div>Senior AI Engineer &ndash; Agentic AI &amp; Generative AI
Experience: 6+ Years
 
Location: Bangalore
 
Work Mode: Work from Office
About the Role
Bluetick Consultants is looking for a Senior AI Engineer to build production-ready GenAI, RAG, and Agentic AI solutions across GCP and Azure. The role combines hands-on development, solution design, cloud deployment, and technical mentoring.
What You&rsquo;ll Do
<ul><li>Build RAG, autonomous-agent, and multi-agent solutions using LangGraph, LangChain, MCP and prompt engineering.</li>
<li>Develop enterprise AI workflows with n8n, Python Code Nodes, APIs, databases, and external systems.</li>
<li>Work with Gemini and Vertex AI, including Agent Builder, Model Garden, and Vertex AI Search &amp; Conversation.</li>
<li>Perform data cleansing, chunking, embeddings, vector search, and CDC-based real-time data synchronization.</li>
<li>Develop and deploy AI services using Python, FastAPI, Docker, and Kubernetes/GKE.</li>
<li>Fine-tune LLMs/SLMs such as Gemma using PEFT, LoRA/QLoRA.</li>
<li>Evaluate models for quality, performance, latency, and cost.</li>
<li>Build AI interfaces using Gradio/Streamlit.</li>
<li>Support CI/CD, MLOps/LLMOps, monitoring, and production deployments.</li>
<li>Collaborate with engineering and business teams and mentor junior AI/ML engineers.</li>
</ul>Key Skills
<ul><li>6+ years of relevant AI/ML Engineering experience.</li>
<li>Strong Python with PyTorch, TensorFlow, or Scikit-learn.</li>
<li>GCP &amp; Azure experience with enterprise AI workloads.</li>
<li>Vertex AI, Gemini API, Vertex AI Pipelines, Gemini Code Assist.</li>
<li>LangGraph, LangChain, MCP, RAG, Agentic AI.</li>
<li>n8n, FastAPI, Docker, Kubernetes/GKE.</li>
<li>Azure DevOps, Argo Workflows, CI/CD, MLOps/LLMOps.</li>
<li>PEFT, LoRA/QLoRA, model evaluation and optimization.</li>
<li>Experience with APIs, databases, vector stores, and CDC.</li>
<li>Strong communication, problem-solving, and stakeholder management skills.</li>
</ul>Preferred: Relevant AI/ML certifications and experience working on large-scale production AI solutions.</div>

Senior AI Engineer

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